precis-mcp 8.4.1

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

precis-mcp

A Model Context Protocol 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. v5.2.6 on PyPI is the last v1-line release; see 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 know what to ask for.

The active set depends on which optional extras and env vars are configured (see Install). Run get(kind='skill', id='precis-help') against a live server for the live enumeration of kinds currently wired (it's a synthesised skill that introspects the registry); pair with get(kind='skill', id='precis-overview') for the design-rationale tour.

Seven verbs

Verb	Use when
get	You know the name (slug, id, file path) — or you're calling a tool.
search	You're looking for content by topic or phrase. Hybrid lexical (tsvector) + semantic (pgvector) with RRF fusion.
put	Create a new ref. Optionally tag and link on creation.
edit	Rewrite a region of a file-kind ref by content anchors (find-replace, append, insert, replace).
delete	Soft-delete a numeric ref, or delete a region from a file kind by selector.
tag	Add and/or remove tags. Three namespaces: closed (STATUS:done), flag (pinned), open (topic-foo).
link	Add or remove a cross-link to another ref. Vocabulary: related-to, blocks, contradicts, cites, derived-from, supports, …

Address by id= for names, q= for content. No URI selector strings for ids; region selectors inside files use the compact slug~SELECTOR shape (e.g. notes--meeting~L42-58).

Install

pip install 'precis-mcp[all]'

Extras (each enables its kinds; omit any you don't want):

Extra	Enables	Heavy?
paper	paper kind (sentence-transformers bge-m3 + acatome-extract)	yes (~2 GB model on first load)
calc	calc kind (sympy)	no
external	math (Wolfram), youtube, web, Perplexity trio	no
patent	patent kind (EPO Open Patent Services)	no
docx	(queued — not yet wired)	—
tex	(queued — not yet wired)	—
plot	(queued — not yet wired)	—
all	All of the above.	yes

A bare pip install precis-mcp gives you the state kinds (todo, memory, gripe, fc, quest, conv, oracle, skill, random) and the markdown / plaintext / python file kinds. Optional deps surface as InitError at boot: the kind silently drops off the tool surface with a WARNING, the server stays up.

Database

precis-mcp requires PostgreSQL with the pgvector extension. The CLI precis migrate applies the forward-only numbered SQL migrations in src/precis/migrations/. See 0001_initial.sql for the schema.

createdb precis
psql precis -c 'CREATE EXTENSION pgvector;'

export PRECIS_DATABASE_URL=postgresql://localhost/precis
export PRECIS_EMBEDDER=bge-m3   # or "mock" for tests
precis migrate

Run

precis serve speaks MCP over stdio. Wire it into your agent's MCP config:

{
  "mcpServers": {
    "precis": {
      "command": "precis",
      "args": ["serve"],
      "env": {
        "PRECIS_DATABASE_URL": "postgresql://localhost/precis",
        "PRECIS_EMBEDDER": "bge-m3",
        "PRECIS_ROOT": "/absolute/path/to/notes",
        "PRECIS_PYTHON_ROOTS": "myrepo:/absolute/path/to/myrepo"
      }
    }
  }
}

Environment variables

Var	Purpose
PRECIS_DATABASE_URL	Postgres DSN (required for all ref kinds).
PRECIS_EMBEDDER	"mock" (dev/tests) or "bge-m3" (prod).
PRECIS_ROOT	Single root dir for markdown / plaintext / tex kinds. The trio is hidden when unset; every read/write is normalised against this path (Path.resolve() + relative_to).
PRECIS_PYTHON_ROOTS	alias:/path,alias2:/path2 — exposed Python repos.
PRECIS_PYTHON_ALLOW_EXEC=1	Gate for python runtrace (spawns subprocess).
EPO_OPS_CLIENT_KEY + _SECRET + PRECIS_PATENT_RAW_ROOT	Enables patent kind.
WOLFRAM_APP_ID	Enables math kind.
PERPLEXITY_API_KEY	Enables websearch / think / research.
LOG_LEVEL	DEBUG / INFO / WARNING / ERROR.

Design highlights

• Seven verbs, one kind=. The whole surface is get/search/put/edit/delete/tag/link. No per-kind bespoke tools. See docs/user-facing/seven-verb-surface-migration.md.
• Content-anchored edits. edit(find=..., before=..., after=...) resolves by literal content match; unique/first/all/nth policy; fuzzy nearest-line hint on not-found. Pure resolver in precis.utils.edit_resolve; ships for markdown, plaintext, and python. See docs/user-facing/edit-protocol-spec.md.
• Hybrid search. Lexical tsvector + semantic pgvector (bge-m3) with Reciprocal Rank Fusion. Block-level; paper chunks, markdown paragraphs, Perplexity answers, web pages all searchable.
• Persistent discovery layer. Papers get pre-computed per-segment matryoshka-ordered keywords (distinctiveness-penalty scored against sibling segments) and per-sentence bge-m3 embeddings. The TOC view serves from ref_segments directly — no per-request DP/KeyBERT recompute. Search hits carry indented excerpt @ ~N: "..." sub-lines, picked by pgvector cosine rerank against the query embedding, so result rows are actionable for triage without a second fetch. The citation kind closes the loop: an agent's writing-thread workflow can persist verified claim → source quote records (see precis-citation-help).
• Progressive disclosure. Seven verbs and a kind= argument is the whole visible surface. Behind it sits a fan-out of ~25 per-kind help skills, dozens of read views, an anchored edit protocol, args-dict view payloads, and a tag/link vocabulary — none of which the agent has to know up front. Every response can emit a next= breadcrumb, every error names the skill that explains it, and get(kind='skill', id='precis-<kind>-help') unfolds the manual for whichever capability the agent just bumped into. Think exploding pocket knife: the tool grows blades as you reach for them, instead of advertising 20 unfamiliar buttons in tools/list. (UX literature calls this pattern progressive disclosure.)
• HintBus. Any layer can emit deduplicated, novelty-decayed tips that are rendered after the verb's main output. Keeps slim models from drowning in self-inflicted reminders.
• Slim exception surface. BadInput / NotFound / Gone / Unsupported / Upstream / RateLimited / Internal, each carrying a single copy-pasteable next= "breaking hint".
• psycopg 3 sync, raw SQL. No SQLAlchemy, no Alembic, no async below FastMCP — stdio's serial workload doesn't buy anything from async.
• In-tree handlers, entry-point plugins. Core kinds are hand-ordered in precis.dispatch.boot(). Third-party kinds can register themselves via the precis.handlers entry-point group without forking — see docs/user-facing/plugin-authoring.md.

Extending

Write a plugin handler in 3 steps — see the one-pager at docs/user-facing/plugin-authoring.md and the canonical tiny example in src/precis/handlers/calc.py.

# your plugin's pyproject.toml
[project]
dependencies = ["precis-mcp>=8.0.0"]

[project.entry-points."precis.handlers"]
wikipedia = "precis_wikipedia:WikipediaHandler"

Plugin failures are logged and skipped — one bad plugin cannot brick the server.

CLI

precis serve                       # Start the MCP stdio server.
precis migrate                     # Run pending SQL migrations.
precis jobs ingest [root]          # Pre-warm .md / .txt / .tex under PRECIS_ROOT
                                   #   (mtime-gated; compose into launchers:
                                   #    `precis jobs ingest && precis serve`).
precis jobs ingest-bundle[s] ...   # Ingest .acatome paper bundles.
precis jobs ingest-oracles ...     # Seed the oracle kind from YAML wisdom files.
precis jobs dedupe-papers          # Collapse duplicate paper refs.
precis jobs import-perplexity ...  # Bulk-import Perplexity web-UI answers.
precis jobs watch-patents / run-patent-watches / sweep-patent-fulltext
                                   # Saved CQL patent watches (patent kind).

Run any subcommand with --help for detailed options.

Utility scripts

The scripts/ dir holds workspace-side utilities that run against a precis store but live outside the published CLI surface. See scripts/README.md for full coverage; the high-traffic ones:

• paper-monitor-ingest-dir — drop-and-go PDF ingest watcher.
• perplexity-monitor-ingest-dir — bulk-import Perplexity markdown exports.
• find-citing-papers — sweep S2 for new papers citing the precis corpus, with bge-m3 cosine rerank and several noise- reduction filters; reports land in paper-ingest/.
• enrich-paper-identifiers / retrofit-acatome-external-ids — backfill DOI / arXiv ids on legacy refs.

Roadmap

• docx, tex, book, rmk file handlers (Phase 6b/c).
• web bookmark mode + Wayback enrichment (gripe:3681 phase 2 + 4 — see OPEN-ITEMS.md).
• voice kind — STT/TTS bound to transcript refs (see docs/user-facing/voice-kind-spec.md).
• SDK extraction (precis-core) once the plugin API has settled.

Documentation

• docs/user-facing/plugin-authoring.md — write a third-party handler.
• docs/user-facing/seven-verb-surface-migration.md — verb surface design rationale.
• docs/user-facing/edit-protocol-spec.md — anchored edits across file kinds.
• docs/user-facing/file-kinds-unified-addressing.md — the slug~SELECTOR address grammar.
• docs/user-facing/python-kind-spec.md — python navigator design.
• docs/user-facing/patent-kind-spec.md — EPO OPS integration.
• docs/user-facing/paper_ingest.md — .acatome bundle ingest path.
• docs/design/storage-v2.md — full schema + discovery-layer design.
• src/precis/data/skills/precis-citation-help.md — citation kind + verifier-workflow agent surface.
• src/precis/data/skills/precis-toc-help.md — TOC machinery (segments, sentences, matryoshka keywords).
• CHANGELOG.md — what shipped in each phase.

Contributing

The repo lives at retospect/precis-mcp. Issues and PRs welcome. Development workflow:

uv venv && source .venv/bin/activate
uv pip install -e '.[all]' --group dev
pytest -q
ruff check . && ruff format --check .
mypy src tests

License

GPL-3.0-or-later. See the full text at gnu.org/licenses/gpl-3.0.html.