"National Rail" matching MCP servers:

Enables read-only access to the Raily personal agent's data, including agent status, brief, matches, intros, memory, analysis status, and billing status through browser-based OAuth.

Privacy-first, read-only repo intelligence for AI coding agents: scans local codebases and recommends MCP servers, repos, and research without sending data to the cloud.

Gives your coding agent your team's issue tracker and the project's durable memory, both scoped to the folder you have open. The agent reads the open work and the gotchas the project already recorded before it starts, then writes back as it works.

Enables graph-powered semantic search over the Grand Débat National dataset, providing fast, transparent answers with provenance tracing back to citizen contributions.

Enables agents to query a locally resolved relationship mesh that joins mail, calendar, iMessage, and contacts into one per-person record, providing shared history, open items, recency, drift, and warmest-channel context without sending data off disk.

Enables proof-carrying project execution through a read-only remote MCP endpoint and WebMCP tools for managing Project Passports, task graphs, evidence-backed provider comparisons, route approvals, artifacts, verification records, and checkpoints without executing external providers.

Enables coding agents to maintain a private, process-bound recall trail and retrieve human-reviewed, immutable knowledge editions over stdio MCP, while supporting capture, recall, feedback, and proposal creation.

Exposes six Neo4j graph tools for tracing data lineage, checking compliance boundaries, and managing audit findings in a simulated infrastructure sandbox.