MCP server for AI cooperation
MCP MCP server exists for a simple reason — assistants are far more useful when they can act on MCP directly instead of describing what you should do. MCP server for AI cooperation.
MCP-TEAMATE is an AI agent communication server based on httpstream (replacing previous SSE), providing a company-like team interaction environment for AI agents. Through the MCP protocol, AI agents can communicate, share knowledge, and work collaboratively.
Once MCP is connected, these are the calls the assistant has available:
Communication — // Wait for Message mcp_Teamate_wait_message({ receiver: "agent2", timeout: 30000 });Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
You will need one environment variable: TEAMATE_SERVER_HOST. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of database access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP's toolset — Communication — is a fair guide to whether it matches your workflow. It is maintained by aokihu; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Communication | // Wait for Message mcp_Teamate_wait_message({ receiver: "agent2", timeout: 30000 }); |
| Variable | Description | Required |
|---|---|---|
| TEAMATE_SERVER_HOST | Endpoint or connection string the server talks to. | Optional |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.