Neural Graph Mapper
Neural Graph Mapper is an MCP server that turns unstructured text into queryable semantic knowledge graphs for agent-assisted research.
About
Neural Graph Mapper is a remote Model Context Protocol server that converts unstructured text into semantic knowledge graphs you can query from Claude Code, Cursor, or other MCP-capable agents. Developers drowning in competitor pages, interview notes, forum threads, and doc dumps can pipe that material through the server instead of manually tagging entities or standing up a graph database on day one. The canonical journey shelf is Idea → research, because the payoff is discovery and relationship-finding before validation or build commitments, though the same graphs later support RAG-style agent tooling during build. The server exposes a single SSE remote endpoint on Vercel and documents an optional Base64 EIP-3009 TransferWithAuthorization signature when premium settlement applies. Expect intermediate setup: register the remote in your MCP client, handle secrets for payment if you use paid tiers, and validate that graph quality matches your source text. It is an MCP integration for structured semantic memory, not a full ETL pipeline or hosted notebook product.
- 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
Neural Graph Mapper by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport sse neural-graph-mapper https://neural-graph-mapper-mcp.vercel.app/api/mcp --header "payment-signature: YOUR_PAYMENT_SIGNATURE"Add your badge
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| Transport | SSE |
|---|---|
| Auth | Required |
What it does
Turn messy research notes and scraped text into a semantic knowledge graph your agent can query while you are still exploring what to build.
Who is it for?
Best when you're doing competitive and domain research and want graph-shaped answers from notes, transcripts, or crawled pages without operating graph infra locally.
Skip if: Skip if you already run a governed knowledge base with strict ACLs and audit trails, or anyone and only needs a single-document summary with no relational queries.
What you get
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
By the numbers
- 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
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Remote MCP graph-ingestion integration, not a self-hosted Neo4j skill or a generic vector-RAG plugin.
FAQ
Who is Neural Graph Mapper for?
It is for developers 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.