synapse-ai MCP Server
synapseorch-ai/synapse-ai
[](https://agentrank-ai.com/tool/synapseorch-ai--synapse-ai/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
synapseorch-ai/synapse-ai is a Python tool licensed under AGPL-3.0. Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs. Topics: custom-tools, directed-acyclic-graph, llm-agent, mcp-client, mcp-server, multi-agent-orchestration, multi-agent, multi-agent-systems, n8n, custom-agents, mcp-servers, mcp-tools.
Ranked #936 out of 24846 indexed tools.
In the top 4% of all indexed tools.
Ecosystem
Score Breakdown
327 stars → growing community
Last commit 1mo ago → moderate activity
16/18 issues closed → responsive maintainer
4 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# Synapse AI — Multi-Agent Orchestration Platform <p align="center"> </p> <p align="center"> <a href="https://synapseorch.com"></a> <a href="https://docs.synapseorch.com"></a> <a href="https://discord.gg/9UN45qyGh8"></a> <a href="https://github.com/synapseorch-ai/synapse-ai"></a> <a href="https://github.com/synapseorch-ai/synapse-ai?tab=AGPL-3.0-1-ov-file"></a> <a href="https://www.npmjs.com/package/synapse-orch-ai"></a> <a href="https://pypi.org/project/synapse-orch-ai/"></a> <a href="https://hub.docker.com/r/synapseorchai/synapse-ai"></a> </p> *Build AI workflows that actually ship.* **Wire agents, tools, and LLMs into deterministic pipelines — without the framework lock-in.** Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local or cloud. Agents use real tools: browsing the web, querying databases, executing code, reading files, managing emails, and anything else you can expose through an MCP serverRead full README on GitHub →
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