pod
Other formats agents might prefer:
markdownjsonllms.txt

Agent? You probably want markdown or json, or Pod over MCP.

MCP Servers with a get_deal tool

Every MCP server Pod knows of that exposes a get_deal tool.

9 servers, ordered by adoption — npm downloads where a package exists, then reported issue volume. None have been dialled by Pod yet, so every tool list here is publisher-reported and unverified.

Hi Energy

Hi Energy connects Claude to your authenticated affiliate marketing account. Search advertisers and programs across major networks, inspect deals and promotions, look up contacts, review transactions and clicks, choose the right performance report, generate tracking links, and run scoped publisher workflows—using the same permissions you already have in Hi Energy.

60 tools reported — Publisher-reported; not verified by Pod.

Claap

Most connectors hand Claude raw transcripts to wade through. Claap hands it answers.

Claap records your calls, syncs your emails and labels every customer signal into structured AI fields, so Claude reasons over your full sales context instead of a slice of it.

Ask what happened. "Summarise yesterday's demo with Contoso and list the next steps." Claude reads the AI summary, not the whole transcript.

Ask what is being said. Search every call semantically or by keyword, already labelled by pain point, objection, feature request and competitor mention.

Ask about the pipeline. Query deals, companies and contacts with their CRM fields, or pull a saved view (MEDDIC, SPICED, objection trackers) so the answer comes back in the shape your team already works in.

Ask across email too, so deal context is not limited to what was said out loud.

Then act on it. Create AI fields and views, update contacts, and move a deal's stage, amount or owner, written straight through to your connected HubSpot.

Because answers are read from Claap's structured fields rather than inferred from raw recordings, they come back sourced and consistent instead of re-derived on every run.

Works with the Claap workspace you already have. Every call is scoped to one workspace and to your own permissions, so Claude sees exactly what you see in Claap. Private spaces stay private.

57 tools reported — Publisher-reported; not verified by Pod.

Lev for Claude

Lev connects Claude to a user's commercial real estate debt placement workspace. Users can inspect and manage deals, indexed deal facts, source documents, memos, checklists, companies, contacts, notes, lender placements, pipelines, term sheets, billing state, account access, and current market reference rates.

52 tools reported — Publisher-reported; not verified by Pod.

DealRoom

DealRoom MCP connects Claude directly to your DealRoom M&A Operating System, allowing your to securely work with your deal data from your AI tool of choice

  • Analyze diligence documents from your DealRoom data room and write findings back automatically, with source citations attached.
  • Research targets in Claude and automatically create or update DealRoom records, attaching market notes, source links, and deal context
  • Ask Claude to analyze your pipeline and instantly generate leadership-ready summaries, cross-deal insights, and portfolio analysis
  • Create a fully configured diligence room, folder structure, and request list from a single prompt in Claude using your templates and prior deals
  • Upload an inbound teaser and let Claude extract deal details, check for duplicate records, and create a deal record automatically

38 tools reported — Publisher-reported; not verified by Pod.

Metal

Use Metal to search your firm’s companies, deals, documents, people, activities, lists, and workflows. Find relevant firm history, inspect source documents, review deal context, map contacts, and run approved workflows while respecting each user’s Metal permissions.

24 tools reported — Publisher-reported; not verified by Pod.

Hindsight

Hindsight is an AI-ready layer on top of your GTM data. It turns scattered, noisy revenue data — calls, emails, CRM notes, documents — into one verified record per deal that AI agents can reason over directly. The Hindsight MCP's deal search tools enable AI agents to search and select context from deals efficiently using a mix of semantic search and structured queries, allowing for simpler and more accurate workflows. The Knowledge Base tools allow you to provide your messaging, playbooks, and context. The Data Analysis tools allow you to create structured reports for things like win-loss analysis. Admins can use the MCP to manage context within the Hindsight platform.

18 tools reported — Publisher-reported; not verified by Pod.

Jiminny

Ask Claude anything about your calls, deals and customers. Jiminny brings the context: transcripts, insights and deal data, so every answer is grounded in reality.

11 tools reported — Publisher-reported; not verified by Pod.

Sybill

Sybill is the context layer for your revenue org. Connect it to Claude and ask anything about your sales conversations, deals, and pipeline grounded in real call transcripts, AI-generated summaries, MEDDIC scores, and CRM data. Surface action items from calls, identify at-risk deals, prep for meetings with full conversation history, and spot patterns across your team's interactions. Sybill unifies the fragmented signals across calls, emails, and CRM into a single coherent picture that Claude can reason over.

5 tools reported — Publisher-reported; not verified by Pod.

MANDA

MANDA is a Japanese M&A marketplace search engine that aggregates business-for-sale listings (small and mid-size companies seeking acquisition or business succession) from across Japan. This connector lets AI agents search public, anonymized sell-side listings by keyword, region, revenue range, and asking price, retrieve full listing details, and browse industry and region master data. All tools are read-only and free to use; no account is required. Contacting sellers requires free registration on manda.bz. Listings and tool responses are in Japanese.

4 tools reported — Publisher-reported; not verified by Pod.

For agents

This page has a Markdown and a JSON twin. Pod is also queryable over MCP at https://api.askpod.ai/mcp/read.