Skip to main content

Camunda (7 & 8) API + MCP Server + A2A Server for Agentic AI!

Project description

camunda-mcp

A Model Context Protocol (MCP) server for Camunda integration.

Table of Contents

Overview

camunda-mcp exposes a standardized interface to interact with Camunda using the Model Context Protocol.

Installation

pip install -e .

Usage

Run the MCP server directly:

python -m camunda_mcp

Architecture

See /docs for architectural diagrams and further documentation.

Deployment

Bare-metal

python -m camunda_mcp.agent_server

Docker

docker compose -f docker/agent.compose.yml up -d

Environment Variables

Variable Description
CAMUNDA_URL URL for the Camunda instance
CAMUNDA_TOKEN Authentication token

MCP Tools

Tool Description
get_camunda_info Retrieve basic information from Camunda
query_camunda Run a query against the Camunda instance

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

camunda_mcp-0.3.0.tar.gz (23.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

camunda_mcp-0.3.0-py3-none-any.whl (27.9 kB view details)

Uploaded Python 3

File details

Details for the file camunda_mcp-0.3.0.tar.gz.

File metadata

  • Download URL: camunda_mcp-0.3.0.tar.gz
  • Upload date:
  • Size: 23.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for camunda_mcp-0.3.0.tar.gz
Algorithm Hash digest
SHA256 9e20e2cd646dfe3fd25db44315d22b1d0e40143b6cc92e00a70c7691e7375d43
MD5 227292e96d8d7e48477d21c9e9f6a530
BLAKE2b-256 9ee8c9d09a6c70c1444b6f44d8ad76028cb42a683abd286f7285e9d5d5611750

See more details on using hashes here.

File details

Details for the file camunda_mcp-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: camunda_mcp-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 27.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for camunda_mcp-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6d070e3cae7cff73095a5ed6b15ea05e51a8dbacff7b6205f126cd21b5c3d4e7
MD5 193feb16bbe4b3200682288d9a95d45f
BLAKE2b-256 b9231801895e32f074e15f144821f6facf8a458d012ed5663d04004b8c7ac639

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page