{
  "SchemaVersion": "1",
  "Kind": "DirectoryIssues",
  "Slug": "tavily-mcp",
  "Name": "tavily-mcp",
  "CanonicalUrl": "https://askpod.ai/mcp/tavily-mcp/issues",
  "ServerUrl": "https://askpod.ai/mcp/tavily-mcp",
  "IssueTotal": 46,
  "Held": 24,
  "Issues": [
    {
      "Title": "OAuth login fails with CloudFront 403 when Google profile picture URL is long",
      "Excerpt": "## Summary\n\nBrowser OAuth for the remote MCP server (`https://mcp.tavily.com/mcp/`) fails for some Google accounts. After approving with Google, the redirect to `https://app.tavily.com/api/mcp_account_creation?session_token=...&state=...` is blocked by CloudFront/WAF with a generic 403 \"Request blocked\" page before it reaches the app.\n\nRoot cause: the `session_token` JWT embeds the user's Google `picture` claim. For accounts whose Google profile-picture URL is the long signed `lh3.googleusercont",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/203",
      "PublishedAt": "2026-08-23T12:49:21.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Server is missing an `instructions` field, leaving agents with no guidance on which tool to use or how they combine",
      "Excerpt": "`tavily-mcp` advertises five overlapping tools (`tavily_search`, `tavily_research`, `tavily_extract`, `tavily_crawl`, `tavily_map`) but provides **no server-level `instructions`** and **no resources/prompts**. The only guidance available is five isolated per-tool descriptions. As a result, agents frequently pick the wrong tool or misuse tools (especially `tavily_extract` and `tavily_research`), because nothing tells them *which* tool to start with or *how the tools combine*.\n\n### Tested version\n",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/188",
      "PublishedAt": "2026-07-14T21:03:05.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "tavily_search returns HTTP 400 behind an HTTP proxy",
      "Excerpt": "When an HTTP forward proxy is configured via HTTPS_PROXY (e.g. HTTPS_PROXY=http://127.0.0.1:7890), every tool call fails with:\n\nTavily API error: Request failed with status code 400\nDocumentation: https://docs.tavily.com/documentation/api-reference/endpoint/search\n\nThe 400 is not returned by the Tavily API. It is returned by the nginx reverse proxy in front of api.tavily.com, because the bundled axios (1.16.0) sends the request as plaintext HTTP to port 443 instead of establishing a CONNECT tunn",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/187",
      "PublishedAt": "2026-07-14T13:33:08.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "is passing key via get url param - isn't security risk",
      "Excerpt": "https://github.com/tavily-ai/tavily-mcp?tab=readme-ov-file#remote-mcp-server\n\nI was going trough tavily-ai -> docs recommend passing api key in URL parameters, concerned on logging of key, and also dump of url string params",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/184",
      "PublishedAt": "2026-07-06T04:50:44.000Z",
      "State": "open",
      "Comments": 1,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Proposal: Add BuyWhere MCP — \"Research with Tavily, buy with BuyWhere\"",
      "Excerpt": "## Proposal\n\n**BuyWhere** ([BuyWhere/buywhere-mcp](https://github.com/BuyWhere/buywhere-mcp)) is a structured product catalog and price comparison MCP server. Pairing it with Tavily MCP creates a complete research-to-purchase workflow.\n\n## Suggested link\n\n```markdown\n- [BuyWhere MCP](https://github.com/BuyWhere/buywhere-mcp) — Real-time product prices and catalog search. \"Research with Tavily, buy with BuyWhere.\"\n```\n\n## The workflow\n\n```\n1. Tavily MCP: research \"best budget laptop for coding 20",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/181",
      "PublishedAt": "2026-06-21T02:14:53.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Proposal: cross-link complementary MCP packages in README",
      "Excerpt": "## Proposal\n\nAdd a \"Works Well With\" section to the tavily-mcp README that cross-links complementary MCP servers.\n\n**Suggested addition:**\n\n> **[@buywhere/mcp-server](https://www.npmjs.com/package/@buywhere/mcp-server)** — Search and compare prices across 11M+ products from Singapore, SEA, and US markets via Model Context Protocol. Research products with Tavily, then get current prices, compare across markets, and find purchase links with BuyWhere.\n\n## Why\n\nTavily is a web search / research tool",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/179",
      "PublishedAt": "2026-06-19T11:49:39.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "工具名重复 tavily_ 前缀，MCP 框架已有命名空间隔离",
      "Excerpt": "MCP 宿主会自动给工具名加上服务器名前缀，避免冲突（如 rag_search = 服务器 rag + 工具 search）。但 Tavily MCP 的工具名内部又带了一遍 tavily_ ，导致接入后变成 tavily_tavily_search ，双重冗余。\n\n当前（src/index.ts）工具名：\n- tavily_search\n- tavily_extract\n- tavily_crawl\n- tavily_map\n- tavily_research\n\n是否有考虑去掉内部的 tavily_ 前缀？这样框架补上命名空间后就是干净的 tavily_search 、tavily_extract 等。\n\n对比： rag MCP 服务器内部就叫 search ，拼出来是 rag_search ，不会有双前缀问题。\n\n同情况似乎也存在于 tavily-ai/tavily-mcp-python 。",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/177",
      "PublishedAt": "2026-06-11T21:14:35.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Missing TAVILY_API_KEY throws McpError instead of returning isError: true",
      "Excerpt": "## Summary\n\nWhen `TAVILY_API_KEY` is not set, all 5 tools return a JSON-RPC error (`McpError` / code -32600) instead of a graceful `isError: true` response. The server starts without the key, then every tool invocation throws at the handler level.\n\n## Steps to Reproduce\n\n1. Start the server without setting `TAVILY_API_KEY`:\n   ```\n   npx -y tavily-mcp@latest\n   ```\n2. Send any tool call (e.g., `tavily_search` with `{\"query\": \"test\"}`)\n3. Observe a JSON-RPC error frame instead of a tool result\n\n#",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/161",
      "PublishedAt": "2026-04-29T00:37:07.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "[Bug] tavily_research hangs forever when model is not specified",
      "Excerpt": "## Description\n\n**Broken — omitting model:**\n```json\n{\n  \"name\": \"tavily_research\",\n  \"args\": {\n    \"input\": \"Research the latest...\"\n  }\n}\n```\n- Hangs 4+ minutes, output = `undefined`\n\n**Works — explicit mini:**\n```json\n{\n  \"name\": \"tavily_research\",\n  \"args\": {\n    \"input\": \"Research the latest...\",\n    \"model\": \"mini\"\n  }\n}\n```\n- Completes successfully ✅\n\n**The Problem**\n\n`model` is optional in the schema and should default to `\"auto\"`. But when omitted, the job sits at `202/pending` forever ",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/158",
      "PublishedAt": "2026-04-23T20:53:53.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "[Bug] tavily_research hangs indefinitely on remote MCP, no axios timeout on polling requests causes silent network failure",
      "Excerpt": "## Environment\n- MCP setup: Remote (mcp.tavily.com)\n- Tool affected: tavily_research only\n- Other tools working fine: tavily_search, tavily_crawl, tavily_extract ✅\n\n## Bug Description\n`tavily_research` hangs for 3+ minutes on both short and long queries,  then surfaces a network error from the client side. The job never completes, it stays pending on the backend indefinitely.\n\n## Root Cause (identified in source)\nIn `src/index.ts`, the axios instance is created with no timeout:\n\n```ts\nthis.axios",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/157",
      "PublishedAt": "2026-04-23T20:53:30.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "docs: README still shows hyphenated tool names (tavily-search/tavily-extract); server registers underscored since v0.2.13",
      "Excerpt": "## Problem\n\n[README.md](https://github.com/tavily-ai/tavily-mcp/blob/main/README.md) currently documents tool usage with hyphenated names:\n\n- `tavily-search`\n- `tavily-extract`\n\nBut the server has shipped **underscored** names since v0.2.13 (2026-01-23). Verified against `tavily-mcp@0.2.18` in `build/index.js` (lines 95, 180, 221, 291, 344):\n\n- `tavily_search`\n- `tavily_extract`\n- `tavily_crawl`\n- `tavily_map`\n- `tavily_research` (added in 0.2.16)\n\n## Why it matters\n\nThis bit us when configuring",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/154",
      "PublishedAt": "2026-04-19T16:58:15.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "[RFC] Agent-native payment gating for Tavily MCP — pay-per-call via x402/MPP",
      "Excerpt": "## What this proposes\n\nAdding pay-per-call payment gating to \\`tavily-mcp\\` so AI agents can pay for searches directly — without requiring human billing accounts.\n\nTavily already charges for API access. This extends that model to agent-native payments: agents pay small amounts per call via x402 (USDC on Base) or MPP (Stripe's Machine Payments Protocol), with zero changes to the existing server logic.\n\n## Working demo\n\nI've built a payment-gated fork: **[github.com/tomopay/tavily-mcp](https://git",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/139",
      "PublishedAt": "2026-03-31T01:00:58.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Progress updates from MCP Server Tools",
      "Excerpt": "Is there a way to send progress updates from the tavily MCP tools to the clients accessing it (can be caught via callbacks from the client)?\n\n**Example**: \nReading the site: https://...\nCrawling multiple sites for deepresearch..\netc.,",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/135",
      "PublishedAt": "2026-03-23T11:03:06.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "[Bug Report] tavily-ai/tavily-mcp",
      "Excerpt": "## Server Information\n**Server:** tavily-ai/tavily-mcp\n**Connection Type:** Local\n\n## Description\nWhen attempting to add the Tavily MCP server, the Smithery CLI consistently returns a **404 Initialization failed** error. Despite being logged in and attempting both global installation and `npx` execution, the CLI points to a non-functional proxy URL (`https://server.smithery.ai/...`).\n\n## Steps to Reproduce\n1. Install Smithery CLI globally: `npm install -g @smithery/cli`\n2. Authenticate via: `smi",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/134",
      "PublishedAt": "2026-03-21T14:59:54.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Bug Report: Node.js v24 Compatibility - ERR_UNSUPPORTED_DIR_IMPORT with zod v3",
      "Excerpt": "## Description\n\nNode.js v24 changed ES Module resolution rules, causing zod v3 directory imports to fail when running tavily-mcp server.\n\n## Error Message\n\n    Error [ERR_UNSUPPORTED_DIR_IMPORT]: Directory import 'C:\\Users\\...\\AppData\\Local\\npm-cache\\_npx\\...\\node_modules\\zod\\v3' is not supported resolving ES modules imported from ...\\zod-to-json-schema\\dist\\esm\\selectParser.js\n        at finalizeResolution (node:internal/modules/esm/resolve:263:11)\n        at moduleResolve (node:internal/module",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/132",
      "PublishedAt": "2026-03-18T08:14:39.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Tavily OAuth resets every 12 hours",
      "Excerpt": "Every 12 hours, Tavily MCP via OAuth resets, causing issues for long-running agents. Is it possible to extend the auth window longer?",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/130",
      "PublishedAt": "2026-03-17T08:35:54.000Z",
      "State": "open",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "recent",
      "Extractor": "github_issue"
    },
    {
      "Title": "Reduce country names to decrease prompt size",
      "Excerpt": "Can you reduce the number of country names or change the prompt in your mcp on https://github.com/tavily-ai/tavily-mcp/blob/main/src/index.ts. \nWe are planning to use your mcp server for our app, reducing the country names can reduce the context size by about 1k tokens. This will definitely reduce our costs as we are planning to use an expensive model",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/69",
      "PublishedAt": "2025-09-25T10:09:27.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "[Q&A] How to set the default args value?",
      "Excerpt": "I am using the mcp server like below:\n\n```ts\n  const config: ClientConfig = {\n    mcpServers: {\n      tavily_search: {\n        command: 'npx',\n        args: ['-y', 'tavily-mcp@latest'],\n        env: {\n          TAVILY_API_KEY: process.env.TAVILY_API_KEY!,\n        },\n      },\n    },\n```\n\nHow can I set the default value of the options?\n\nFor example, I used the `'@langchain/tavily'`like below in langchain stack: \n\n```ts\n  const tavilyTool = new TavilySearch({\n    maxResults: maxResults ?? 5,\n    to",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/60",
      "PublishedAt": "2025-08-25T03:21:17.000Z",
      "State": "closed",
      "Comments": 3,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Use `Authorization` header instead of query param",
      "Excerpt": "Configuring a tool that can only use remote MCPs with Tavily is a bit weird because you're essentially forced to leak your API token to everyone in the organization\n\n<img width=\"395\" height=\"247\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/266b2e35-cf94-46be-b395-9ed01eb1e713\" />\n\nIt would be better if Tavily supported the industry standard header `Authorization: Bearer <token />` or even a non-standard header.",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/59",
      "PublishedAt": "2025-08-23T06:00:19.000Z",
      "State": "closed",
      "Comments": 4,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "proxy support?",
      "Excerpt": "Do you have any plans to support proxy?\n\nWe are testing mcp/tavily, but it seems that the functionality to call the Tavily API through a proxy using the http_proxy or https_proxy environment variables has not been implemented. Since we are considering auditing through a proxy in our MCP operations, it would be greatly appreciated if you could add support for this. Thank you.",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/30",
      "PublishedAt": "2025-05-04T05:14:21.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Error getting tool list when using tavily-mcp in VSCode Continue extension",
      "Excerpt": "Got error when using VSCode Continue to call tavily-mcp@0.1.4\n\nMessage: \n`Error loading resources for MCP Server Tavily Search: MCP error -32601: Method not found`\n\nInstall command:\n`npm i -g tavily-mcp`\n\nContinue command:\n`npx -y tavily-mcp@0.1.4`\n\nDeveloper Tools' Console message:\n`Tavily MCP server running on stdio`\n\nSimple test for this error:\n```\nnode -e \"const { spawn } = require('child_process'); const mcp = spawn('npx', ['tavily-mcp'], { stdio: ['pipe', 'pipe', process.stderr] }); mcp.st",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/28",
      "PublishedAt": "2025-04-06T17:10:17.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Error: Cannot find package",
      "Excerpt": "Hi there，\nWhen I use `bunx` instead of `npx`, I get the error\n```\nError: Cannot find package 'F:\\Temp\\bunx-3651528695-tavily-mcp@0.1.4\\node_modules\\zod\\index.js' imported from F:\\Temp\\bunx-3651528695-tavily-mcp@0.1.4\\node_modules\\@modelcontextprotocol\\sdk\\dist\\types.js\n```\n I checked and found the `zod` folder is empty.\n Can this be solved?",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/25",
      "PublishedAt": "2025-03-29T03:10:28.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "not working",
      "Excerpt": "![Image](https://github.com/user-attachments/assets/b560aa63-501b-4dbf-95fa-9608916001bc)\n\n\n![Image](https://github.com/user-attachments/assets/5d8afb8d-b9f5-439e-bac2-571da26182c4)\n\n`\"tavily\": {\n        \"command\": \"/bin/bash\",\n        \"args\": [\"script.sh\"]\n      }`",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/20",
      "PublishedAt": "2025-03-22T17:06:03.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "on the window vscode bug",
      "Excerpt": "`{\n  \"mcpServers\": {\n    \"tavily-mcp\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"tavily-mcp@0.1.3\"],\n      \"env\": {\n        \"TAVILY_API_KEY\": \"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\"\n      }\n    }\n  }\n}`\nit error\n`\nspawn npx ENOENT spawn npx ENOENT\n`",
      "SourceUrl": "https://github.com/tavily-ai/tavily-mcp/issues/12",
      "PublishedAt": "2025-02-25T12:14:06.000Z",
      "State": "closed",
      "Comments": 7,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    }
  ],
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      "46 problems reported from outside the maintainer team",
      "No tool list published — Pod has not verified what it exposes",
      "If you use tavily-mcp, write down what actually happened so the next agent pays less"
    ],
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