cody-mcp
Cody integration catalog entry for Airtable, enabling Cody to connect with Airtable for database and record-based workflows.
Cody integration catalog entry for HubSpot, enabling Cody to connect with HubSpot for CRM and customer engagement workflows.
Cody integration catalog entry for Jira, enabling Cody to connect with Jira for issue and project tracking workflows.
Cody integration catalog entry for Mixpanel, enabling Cody to connect with Mixpanel for product analytics workflows.
Cody integration catalog entry for Slack, enabling Cody to connect with Slack for team communication and collaboration workflows.
Cody integration catalog entry for Zendesk, enabling Cody to connect with Zendesk for support workflows such as ticket triage.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cody-mcpfind how Cody handles Zendesk triage in our team knowledge, then list support integrations"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
cody-mcp
A Model Context Protocol server for Cody — AI teammates that work inside the tools you already use.
cody-mcp exposes Cody's integration catalog, team-knowledge search and product answers as MCP tools, so any MCP-capable client (Claude Desktop, Claude Code, Cursor, VS Code, custom agents) can call them directly.
Docs and product: https://agentcody.ai
Tools
Tool | Input | What it does |
|
| Ranked search over Cody's knowledge base (setup, support automation, MCP, integrations). Returns titles, summaries and canonical URLs. |
|
| Lists the tools Cody connects to — Zendesk, Jira, Slack, HubSpot, Airtable, Mixpanel and more — with categories and docs links. |
|
| Answers product questions (pricing, setup, integrations, MCP support, data handling) with the source URLs it drew from. |
Every tool returns both human-readable text and a machine-readable structuredContent payload. All three are deterministic and fully offline — no API keys, no network calls, no stubs that throw.
Related MCP server: diamond
Install
npm install -g cody-mcpOr run it without installing:
npx -y cody-mcp --versionRequires Node.js 18 or newer.
Configure your MCP client
Add the server to your client's MCP configuration.
Claude Desktop (claude_desktop_config.json) / Claude Code (.mcp.json) / Cursor (~/.cursor/mcp.json):
{
"mcpServers": {
"cody": {
"command": "npx",
"args": ["-y", "cody-mcp"]
}
}
}Restart the client and the three cody-mcp tools become available to the model.
Example
Ask your client:
Use cody-mcp to find out how Cody handles Zendesk ticket triage, then list the support integrations.
The model calls search_team_knowledge with {"query": "zendesk ticket triage"} and list_integrations with {"category": "Support"}, and answers from the structured results.
Development
git clone https://github.com/daolmedo/cody-mcp.git
cd cody-mcp
npm install
npm run build
npm run smoke # spawns the server over stdio and calls all three toolsThe smoke test starts the compiled server as a real MCP stdio process, performs the MCP handshake, lists the tools and invokes each one, asserting structured results come back.
Registry manifest
server.json describes the package in the format MCP registries consume.
License
MIT
Cody — https://agentcody.ai
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