Neural Graph Mapper
Turn messy research notes and scraped text into a semantic knowledge graph your agent can query while you are still exploring what to build.
Overview
Neural Graph Mapper is an MCP server for the Idea phase that turns unstructured text into queryable semantic knowledge graphs for agent-assisted research.
What is this MCP server?
- Remote SSE MCP server at neural-graph-mapper-mcp.vercel.app/api/mcp
- Transforms unstructured text into queryable semantic knowledge graphs
- Agent-driven ingestion and graph queries over research corpora
- Optional payment-signature header (EIP-3009) for premium settlement
- server.schema.json v2025-12-11, package version 1.0.0
- 1 remote SSE endpoint documented in server.json
- Server package version 1.0.0
- MCP schema https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json
What problem does it solve?
Research piles up as unstructured text, so you cannot quickly ask your agent how concepts, people, and products connect across sources.
Who is it for?
Solo builders doing competitive and domain research who want graph-shaped answers from notes, transcripts, or crawled pages without operating graph infra locally.
Skip if: Teams that already run a governed knowledge base with strict ACLs and audit trails, or anyone who only needs a single-document summary with no relational queries.
What do I get? / Deliverables
After you connect the remote MCP endpoint, your agent can build and query a semantic graph over ingested text instead of re-reading every note from scratch.
- Semantic knowledge graph representation derived from supplied unstructured text
- Agent-callable graph queries over ingested research material
- Repeatable remote MCP workflow without local graph database setup
Recommended MCP Servers
Journey fit
Knowledge graphs from unstructured text support opportunity research and sense-making before you lock scope or architecture. The research subphase is where solo builders accumulate unstructured inputs; graph mapping makes that corpus interrogable instead of buried in files.
How it compares
Remote MCP graph-ingestion integration, not a self-hosted Neo4j skill or a generic vector-RAG plugin.
Common Questions / FAQ
Who is Neural Graph Mapper for?
It is for solo and indie builders using MCP agents who want semantic knowledge graphs from unstructured research text during the idea and discovery phase.
When should I use Neural Graph Mapper?
Use it when you have a corpus of unstructured notes or pages and need entity-relationship structure your agent can query before you finalize product scope.
How do I add Neural Graph Mapper to my agent?
Add the published SSE remote URL https://neural-graph-mapper-mcp.vercel.app/api/mcp in your MCP client configuration and supply the payment-signature header if your tier requires EIP-3009 settlement.