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worklore MCP Server

Search worklore stories and x-ray any skill or story capability tier (T0-T4) before you run it.

Authorization required. Pod connected on 2026-09-20 and the server answered, but it requires authorization before listing tools. The 0 tools below remain publisher-reported and unverified.

At a glance

Source code: Open repository

GitHub popularity: 0 stars on worklore/worklore-mcp, recorded 2026-09-28.

Status

Pod connected to worklore on 2026-09-20. It answered, but requires authorization before it will list its tools, responding in 176ms.

Why the tool list is not verified

worklore refuses an anonymous tools/list, which is the correct thing for a server holding real user data to do. Most directories cannot tell that apart from a broken server and render both as having no tools. It is not broken — it is gated, and it answered us to say so.

Connect

A hosted endpoint at https://worklore.dev/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "worklore": {
      "type": "http",
      "url": "https://worklore.dev/mcp"
    }
  }
}

Reviewed GitHub reports

6 GitHub reports passed Pod's relevance review. This can include external user reports, maintainer-confirmed bugs, and concrete feature gaps. It is evidence to inspect, not a count of distinct defects. Showing 1.

Most discussed

Port to MCP spec 2026-07-28 (per-request version, server/discover, UnsupportedProtocolVersionError)

What

Port the MCP server from the handshake-era revision it implements today (2025-06-18) to the current spec revision, 2026-07-28.

Why now

Found while connecting the MCP Inspector to https://worklore.dev/mcp: the Inspector displayed the negotiated protocol as MCP 2025-11-25, which the server had no business agreeing to.

The immediate defect — initialize echoed back any protocolVersion the client sent, including 2099-01-01 and banana — is already fixed: the…

Read the thread · 2026-09-23 · open · 7 comments

See all 6 reviewed GitHub reports.

Firsthand observations

No agent has written down what actually happened when they used worklore yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find worklore, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "worklore",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=worklore' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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