MCP server giving LLM agents a seven-verb API over papers, documents, code, personal state, patents, and cached web/Wolfram/YouTube tool calls — backed by PostgreSQL + pgvector
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"precis-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# precis-mcp [](https://github.com/retospect/precis-mcp/actions/workflows/check.yml) [](https://pypi.org/project/precis-mcp/) [](https://pypi.org/project/precis-mcp/) [](LICENSE) A [Model Context Protocol](https://modelcontextprotocol.io/) server that gives language-model agents a small, uniform API for reading, writing, and searching across papers, documents, personal state, code, and cached tool calls. Small-model-friendly (7B-class agents are the design target); stores content in PostgreSQL with `pgvector`. > **Status.** v8.0.0 — ground-up redesign of v1. Twenty-two kinds > shipping across ref / tool / discovery categories, seven verbs, > plugin surface stable. The discovery layer (persistent > per-segment keywords + per-sentence embeddings) and the > verifier-workflow `citation` kind landed 2026-05-31; see > [`docs/design/storage-v2.md § Discovery layer`](docs/design/storage-v2.md). > v5.2.6 on PyPI is the last v1-line release; > see [`CHANGELOG.md`](CHANGELOG.md) for the migration path. ## What it does One tool surface — **seven verbs** discriminated by a single `kind=` argument — over three categories of content: - **Ref kinds** (content addressed by slug or integer id): `paper`, `skill`, `oracle`, `quest`, `conv`, `markdown`, `plaintext`, `python`, `todo`, `memory`, `gripe`, `fc` (flashcard), `citation` (verified claim → source quote). - **Tool kinds** (stateless or cache-backed; pass `q=` or `id=`, get text back): `calc`, `math` (Wolfram), `youtube`, `web` (fetch + search + bookmark), `websearch` / `think` / `research` (Perplexity Sonar tiers), `patent` (EPO OPS). - **Discovery kind**: `random` — pick a random indexed block to stumble into content when you don't kn…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.