# Project Synapse

> Use this tool when you need to transform raw text into interconnected knowledge graphs and generate novel insights through pattern detection. Project Synapse solves problems in research automation, knowledge management, and AI assistant development by analyzing text and discovering non-obvious connections. It takes in raw text and outputs semantic graphs, insights, and patterns, making it ideal for applications that require autonomous knowledge synthesis and discovery.

Canonical page: https://skillsregistry.net/skills/project-synapse  
JSON: https://api.skillsregistry.net/v1/skills/project-synapse

## Description

This MCP server implements Project Synapse, an autonomous knowledge synthesis engine that combines Montague Grammar-based semantic parsing, Zettelkasten methodology, and Neo4j graph database storage to transform raw text into interconnected knowledge graphs and generate novel insights through pattern detection. Built using Python with spaCy, NetworkX, and scikit-learn, it provides tools for ingesting and semantically analyzing text, storing entities and relationships in Neo4j, exploring graph connections, and autonomously generating insights using community detection, centrality analysis, and semantic clustering algorithms. The implementation features formal semantic analysis with logical form generation, background insight processing, evidence-based validation with confidence scoring, and specialized prompts for knowledge synthesis workflows, making it valuable for research automation, knowledge management systems, and building AI assistants that need to discover non-obvious connections and patterns across large text corpora.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/project-synapse)
- **Repository:** <https://github.com/angrysky56/project-synapse-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "project-synapse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/project-synapse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/project-synapse/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt