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Mesh MCP

Free forever

clay-inc · AI & ML

45.4k installs

Connect in 1 click

Mesh MCP gives AI agents structured, programmatic access to your professional network — contacts, relationship graphs, and connection metadata — through a single Model Context Protocol interface. Instead of manually exporting spreadsheets or toggling between CRM tabs, a Claude, GPT, or Gemini agent can query your network directly: who do we know at a target account, what's the shortest path to a warm introduction, and which contacts have gone stale and need re-engagement. For sales, partnerships, recruiting, and investor-relations teams, this turns a static contact list into a live, queryable relationship graph that any model-agnostic agent can reason over.

When you host Mesh MCP on BusinessMCP.com, it stops being an isolated network tool and becomes one node in a unified business context layer. Connect it once through our managed hosting, and it's exposed alongside your CRM, ad platforms, revenue data, and other MCP servers via a single /api/mcp endpoint secured with a Bearer mcph_* key. An agent asking "find a warm intro at Acme Corp who's also aligned with our current pipeline value" can pull relationship data from Mesh MCP and revenue context from another connected server in the same call — no custom integration glue required. The accompanying business-intelligence dashboard surfaces network health, connection density, and outreach patterns alongside the rest of your operational metrics, so relationship data isn't siloed from the numbers that matter to leadership.

Because the setup is cookieless and GDPR-friendly by design, teams handling EU contact data or operating under strict privacy requirements can expose network intelligence to AI agents without introducing new compliance risk. And because the hosting layer is model-agnostic, you're not locked into a single AI vendor: switch between Claude, GPT-4-class models, or Gemini for relationship-mapping tasks without re-plumbing your integration each time a new model ships.

Typical workflows include account-based prospecting (surface every known contact at a target list of companies before an SDR sends a single email), founder and investor-relations research (map second-degree connections ahead of fundraising outreach), and recruiting pipelines (find employees or advisors with existing ties to a candidate). Rather than treating your network as a dormant export sitting in a spreadsheet, Mesh MCP keeps it live, queryable, and directly actionable by whichever AI agent your team is already using — all provisioned and monitored through BusinessMCP's managed infrastructure so engineering doesn't have to babysit uptime, auth, or version upgrades for yet another self-hosted server.

$ npx mcphosting-cli add clay-inc-clay

Just say it in a thread

No configs, no docs. Once connected, these are the kinds of messages your agents act on.

"Search across the connected network for contacts matching a name, company, or role — and give me the highlights."

"Return the shortest known connection path between the user and a target person or company for me, then post a summary in the thread."

"List shared contacts between the user's network and a specified target account or individual and flag anything that needs my approval."

What teams use it for

  • Surface warm introductions at target accounts before outbound sales outreach
  • Map second-degree connections for investor or partnership research
  • Feed AI agents live relationship context alongside CRM and revenue data
  • Identify stale contacts needing re-engagement across a sales pipeline
  • Support recruiting teams in finding internal ties to prospective candidates

Agent-callable tools

search_network

Search across the connected network for contacts matching a name, company, or role.

get_relationship_path

Return the shortest known connection path between the user and a target person or company.

find_mutual_connections

List shared contacts between the user's network and a specified target account or individual.

enrich_contact

Augment a contact record with available profile, company, and role metadata.

list_stale_contacts

Identify contacts with no recent interaction that may need re-engagement.

tag_contact

Apply or update tags on a contact record for segmentation and follow-up tracking.

export_contact_list

Export a filtered subset of network contacts for use in an outreach workflow.

Your data stays yours

Credentials live in your vault. We route requests — we never store, log, or train on your data.

Works with every AI

Connect once — portable across Claude, GPT, Gemini, and every local agent you run.

Frequently asked questions

What kind of data can an AI agent pull from Mesh MCP?

Mesh MCP exposes contact records, connection metadata, and relationship-path information from your network, letting an agent query who you know and how you're connected to a given company or person.

How does hosting Mesh MCP on BusinessMCP.com differ from self-hosting it?

BusinessMCP provisions, secures, and monitors the server for you, then exposes it through a single /api/mcp endpoint alongside your other connected tools, so agents get unified context instead of a one-off integration.

Is Mesh MCP suitable for teams with strict data privacy requirements?

Yes — BusinessMCP's infrastructure is cookieless and GDPR-friendly, which helps teams expose network and contact data to AI agents without adding new compliance overhead.

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