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MCP server giving LLM agents a seven-verb API over papers, documents, code, state, patents, and cached web/Wolfram/YouTu
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. Actively developed on the v8 line. There is no CHANGELOG —
git logis the change story. The kinds catalogue below is a living set: the authoritative, build-specific enumeration is alwaysget(kind='skill', id='precis-help')against a running server (it introspects the live registry), paired withget(kind='skill', id='precis-overview')for the guided tour. Agents should start atprecis-toolpath-help("I want to X — what do I call?").
One tool surface — seven verbs discriminated by a single kind=
argument — over three categories of content. Ref kinds are addressed
by slug or integer id (output hands you a compact <2-char><id>
handle, e.g. pa5 a paper, me42 a memory); tool kinds take q=
or id= and hand back text.
paper (ingested research PDF),
patent (EPO OPS record), cfp (call-for-proposal / spec doc),
oracle (curated wisdom entry), conv (past conversation),
pres (slide deck), skill (agent how-to — you're reading one).PRECIS_ROOT / code — markdown, plaintext,
tex, and python (symbol- and callgraph-aware repo navigator).draft (chunk-native document that
exports to LaTeX/PDF/Word; ADR 0033), cad (parametric
solid-model design probed analytically, not meshed; ADR 0041),
structure (atomistic cell + bond graph for DFT/molecular work;
ADR 0043), pcb (netlist + placement graph → BOM/CPL/DSN +
Freerouting; ADR 0042), folder (organizational container for
the above; ADR 0045).todo (hierarchical task tree),
memory, gripe, anki (spaced-repetition cloze cards → AnkiWeb),
citation (verified claim → source quote), finding
(chain-of-evidence over a citation chase), job (offline LLM run,
child of a todo).orcid (researcher-identity hub;
ADR 0039), cron (push-notification scheduler; ADR 0030),
message (proactive outbound), alert (machine-detected ops
condition), agentlog (per-run attribution trail), provenance
(derivation audit).calc (local SymPy),
math (Wolfram), youtube (transcript), web (fetch + extract),
wikipedia (on-demand article), websearch /
perplexity-reasoning / perplexity-research (Perplexity Sonar
tiers).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) — a kind whose dependency or
env var is missing simply drops off the surface. This list is a
snapshot; get(kind='skill', id='precis-help') enumerates the kinds
wired in your build, and get(kind='skill', id='precis-overview')
gives the design-rationale tour with an example handle per kind.
| 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).
pip install 'precis-mcp[all]'
Extras (each enables its kinds; omit any you don't want):
| Extra | Enables | Heavy? |
|---|---|---|
embed | In-process bge-m3 embedder (sentence-transformers + torch) — needed for search unless you point at a remote embedder | yes (~2 GB model on first load) |
paper | paper ingest — Marker PDF → chunks + CrossRef/S2 metadata | yes (pulls torch via Marker) |
calc | calc kind (sympy) | no |
external | math (Wolfram), youtube, web, Perplexity trio, news | no |
patent | patent kind (EPO Open Patent Services) | no |
web | precis web browser UI (FastAPI + Jinja + HTMX) | no |
tex | tex kind — .tex files under PRECIS_ROOT | no |
docx | DOCX file handler | no |
plot | Declarative matplotlib plot renderer | no |
cad-export | cad STL/3MF export (manifold3d CSG kernel) | no |
cad-step | cad exact STEP export (OpenCASCADE B-rep) | yes (~200 MB OCCT libs) |
pcb | pcb footprint resolution (LCSC → KiCad) | no |
dft | structure CIF I/O + symmetry (ASE + spglib) | no |
dft-ml | structure ML-potential relax (ASE + MACE-torch) | yes (pulls torch) |
edgar | edgar kind — SEC EDGAR filings (httpx) | no |
chem | route kind — retrosynthesis tool-pack (RDKit) | no |
mermaid | mermaid diagram kind — pure-Python mermaidx (no Node/Chromium) | no |
tts | Audio export — local TTS for voice drafts + the morning brief (Kokoro) | yes (host-specific) |
asa | asa-bot Discord bridge (discord.py) | no |
all | embed + paper + docx + tex + calc + plot + external + patent + edgar + web + cad-export + mermaid. Excludes the heavier / specialized cad-step, dft, dft-ml, pcb, chem, tts, asa tiers — install those explicitly. | yes |
A bare pip install precis-mcp gives you the state kinds (todo,
memory, gripe, anki, conv, oracle, skill,
random) and the markdown / plaintext / python file kinds.
(The tex file kind also rides on PRECIS_ROOT, but its .tex
parsing pulls in the [tex] extra's lxml.)
Optional deps surface as InitError at boot: the kind silently drops
off the tool surface with a WARNING, the server stays up.
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
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"
}
}
}
}
| Var | Purpose |
|---|---|
PRECIS_DATABASE_URL | Postgres DSN (required for all ref kinds). |
PRECIS_OWNER | Canonical username for the human running this instance — the author stamped on a web "ask a follow-up" and the user:<owner> addressee of an ask-user pause. Defaults to owner. |
PRECIS_EMBEDDER | "mock" (dev/tests), "bge-m3" (in-process), or "remote" (HTTP client to precis serve-embeddings). |
PRECIS_EMBEDDER_URL | Required for remote: ordered, comma-separated base URL(s), e.g. http://127.0.0.1:8181. First healthy endpoint wins; rest are fallback. |
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. |
ORCID_CLIENT_ID + _SECRET | Enables the orcid researcher-identity kind. |
WOLFRAM_APP_ID | Enables math kind. |
PERPLEXITY_API_KEY | Enables websearch / perplexity-reasoning / perplexity-research. |
PRECIS_CORPUS_DIR | Corpus root(s) for the precis web paper viewer. An os.pathsep-separated list is allowed (e.g. /opt/a/corpus:/opt/b/corpus); the web tries each <root>/<letter>/<cite_key>.pdf in order and serves the first that exists. Point it at the same path the ingest watcher writes to. |
LOG_LEVEL | DEBUG / INFO / WARNING / ERROR. |
This table is the getting-started subset. precis reads ~150 PRECIS_*
variables in all — feature toggles, autonomy modes, budgets, model ids,
compute-routing, paths, and secrets. For the exhaustive catalog —
every var, its code default, the value deployed to each cluster service,
and an assessment of whether that state is right — see
docs/reference/config-variables.md.
The policy for adding a var (the three-tier scheme) is
docs/conventions/env-vars.md.
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.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.tsvector + semantic pgvector (bge-m3)
with Reciprocal Rank Fusion. Block-level; paper chunks, markdown
paragraphs, Perplexity answers, web pages all searchable.chunks.keywords TEXT[] (GIN-indexed
canonical forms) + chunks.keywords_meta JSONB (versioned
short/long pairs with bge-m3 cosine scores), populated by the
chunk_keywords worker. The paper TOC view (view='toc')
DP-clusters those keyword arrays at request time
(src/precis/utils/toc_db.py) — superseding the dropped
ref_segments / ref_segment_sentences precompute. The
citation kind closes the loop: an agent's writing-thread
workflow can persist verified claim → source quote records (see
precis-citation-help).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.)kind='todo' is a hierarchical task graph — a
level gradient (strategic → tactical → subtask, plus
recurring), a PRIO sort key, meta.auto_check wait-for-condition
leaves, and meta.schedule recurring spawn (the Watches
umbrella). It is the unified substrate for intent, execution, and
review; kind='job' (an offline LLM run) always hangs off a todo
via parent_id, and the dispatch worker is the canonical path
from a todo's meta.executor to a queued job. See
precis-tasks-help.precis worker --profile=system (embeddings,
keywords, dispatch, sweepers — safe to run on every node) and
--profile=agent (the LLM-heavy review/planner rotation, each pass
self-gated by env + a load-average ceiling). Per-pass daemons are
retired.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.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.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.
# Serving
precis serve # Start the MCP stdio server.
precis serve-embeddings # HTTP embedding service (server side of
# PRECIS_EMBEDDER=remote; /healthz /readyz
# /model /embed /metrics).
precis web [--host H --port P] # Browser UI: Tasks / Papers / Console /
# Conversations / Status tabs (needs the
# [web] extra; binds 127.0.0.1:9100, no
# auth — reach it over Tailscale).
# Background processing
precis worker [--profile system|agent]
# Drive the background passes. 'system'
# (default) = embeddings/keywords/dispatch/
# sweepers; 'agent' = the LLM-heavy review
# + planner rotation. --only X --once for
# ad-hoc backfills.
precis watch [PATH] # Watch an inbox dir and ingest dropped PDFs
# (papers / books / presentations routing).
precis add <pdf|url> # Ingest one paper on the spot.
# Database
precis migrate # Run pending forward-only SQL migrations.
precis db ... # Schema utilities (dump-schema, …).
precis schema-doc # Generate the Mermaid ER diagram
# (docs/design/schema.md) from a DSN.
# Interactive & inspection
precis repl # Interactive verb console (tab-complete).
precis draft ... # Manage / export draft-kind documents.
precis stats | logs | stubs | verify
# Corpus stats, event logs, stub triage,
# integrity checks.
precis cron | heartbeat # Scheduler tick / liveness ping.
# One-shot jobs
precis jobs ingest[-md|-oracles] ... # Pre-warm files under PRECIS_ROOT.
precis jobs import-perplexity ... # Bulk-import Perplexity web-UI answers.
precis jobs {watch,list,run}-patent-watches / sweep-patent-fulltext
# Saved CQL patent watches (patent kind).
precis jobs check-provenance / sync-retraction-watch
# Provenance + retraction audits.
Run any subcommand with --help for the full option list.
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 a paper-ingest/ review dir.enrich-paper-identifiers / retrofit-acatome-external-ids
— backfill DOI / arXiv ids on legacy refs.book, rmk file handlers. (tex and docx shipped.)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).precis-core) once the plugin API has settled.AGENTS.md — start here to contribute or change code. The canonical guide: conventions, workflow, definition-of-done, ingest guarantees.docs/mission.md — the mission, the pitch narrative, and the current corpus facts (positioning, not architecture — the single source for decks and talks).docs/README.md — the documentation landing index (directory-by-directory map).docs/architecture.md — the system manual: a narrative overview tying the surface, kinds, storage, todo-tree, and workers together.docs/design/schema.md — the generated DB schema diagram (Mermaid ER, produced from the live database — can't drift).docs/decisions/README.md — the ADR index (one record per decision; supersession graph). The individual ADRs live in docs/decisions/.docs/reference/config-variables.md — the full PRECIS_* config catalog: every var, its default, the value deployed to each cluster service, and a correctness assessment.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.docs/decisions/0026-precis-web-surface.md — the precis web browser UI (Tasks / Papers / Conversations / Console / Status).docs/decisions/0029-multi-root-corpus-pdf.md — why PRECIS_CORPUS_DIR accepts a list of roots.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).git log) — what shipped in each phase (no CHANGELOG file).The repo lives at
retospect/precis-mcp.
Issues and PRs welcome. Development workflow:
uv sync --all-extras --group dev
uv run pytest
uv run ruff check . && uv run ruff format --check .
uv run mypy src tests
Run the full test suite in the dev container, which bakes every optional extra and wires the test database:
scripts/dev pytest # full suite, all extras
scripts/dev bash -lc "ruff check . && ruff format --check . && mypy src tests && pytest"
A host uv run pytest only sees the torch-free base install, so the
full run there fails with spurious missing-extra errors (sympy,
marker, lxml, …) — use it for targeted subsets only.
All tooling goes through uv run (host) or scripts/dev (container)
— see AGENTS.md for the full workflow and
definition-of-done.
GPL-3.0-or-later. See the full text at gnu.org/licenses/gpl-3.0.html.
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