PluginBench
MCP Server
Maintained
Apache-2.0

io.github.var-gg/pindoc MCP Server

io.github.var-gg/pindoc

Code-pinned team memory for AI coding agents — typed artifacts, MCP-native, self-host.

What is the io.github.var-gg/pindoc MCP server?

Pindoc is a self-hosted project memory system for teams working with AI coding agents. It turns useful agent discoveries into typed artifacts (decisions, debugging paths, task closeouts, verification notes, code-linked analyses) scoped to project areas and pinned back to commits, files, URLs, and related artifacts. Agents write the durable record; humans review, discuss, and steer.

Pindoc keeps the parts of agent work that teammates and future agents can reuse. It prevents debugging paths, decisions, and analyses from falling through the cracks by capturing them as searchable, code-pinned team memory. The system is designed for collaborative review—agents write through MCP tools, humans read and discuss through a web UI—and runs entirely self-hosted via Docker Compose with Postgres and semantic search.

How to install io.github.var-gg/pindoc

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • PINDOC_DATABASE_URL
    required

    Postgres connection string. Use the bundled docker compose stack for the recommended pgvector setup.

  • PINDOC_BIND_ADDR

    Daemon bind address. Loopback (127.0.0.1:5830) by default; set a non-loopback value only behind an IdP or trusted proxy.

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "pindoc": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/var-gg/pindoc:0.2.0"
      ],
      "env": {
        "PINDOC_DATABASE_URL": "<YOUR_PINDOC_DATABASE_URL>",
        "PINDOC_BIND_ADDR": "<YOUR_PINDOC_BIND_ADDR>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • pindoc.context_for_task — Retrieve project context and assigned tasks before an agent begins work
  • pindoc.task.queue — Access the task queue for the current project
  • pindoc.artifact.propose — Propose a new artifact (Decision, Analysis, Debug, Flow, Task, TC, Glossary, or domain-pack)
  • pindoc.workspace.detect — Resolve the likely project slug for the current workspace
  • pindoc.asset.upload — Upload assets (images, files) to be attached to artifacts
  • pindoc.asset.attach — Attach uploaded assets to artifacts with metadata and evidence tracking
  • pindoc.harness.install — Generate workspace configuration that stores project slug in PINDOC.md frontmatter

Use cases

  • Capture debugging paths and decision rationale so future agents and teammates don't repeat the same work
  • Store code-linked analyses and verification notes tied to specific commits, files, or line ranges
  • Queue and track tasks with acceptance criteria and closeout state managed through the MCP interface
  • Build a searchable team memory of project decisions and architectural choices indexed by semantic search
  • Prevent duplicate documentation by centralizing agent discoveries into typed, code-pinned artifacts instead of scattered chat logs and wikis

io.github.var-gg/pindoc MCP server FAQ

What is Pindoc?

Pindoc is a self-hosted project memory system that captures AI agent work (debugging paths, decisions, analyses) as typed, code-pinned artifacts. Agents write through MCP tools; humans review and discuss through a web UI.

Is Pindoc free?

Yes, Pindoc is open-source under the Apache License 2.0 and self-hosted via Docker Compose. There is no SaaS cost.

How do I install Pindoc?

Run `git clone https://github.com/var-gg/pindoc.git && cd pindoc && docker compose up -d --build`. The daemon exposes an MCP endpoint at `http://127.0.0.1:5830/mcp` and a Reader UI at `http://localhost:5830/`.

How do I connect Pindoc to Claude or Cursor?

Add the MCP server to your client config with `{"type": "http", "url": "http://127.0.0.1:5830/mcp"}`. Agents pass `project_slug` on project-scoped tool calls; the workspace detection tool can resolve it automatically.

Does Pindoc require authentication?

The default Docker setup is single-user and loopback-only. For multi-user or public access, configure GitHub OAuth via `PINDOC_AUTH_PROVIDERS` and follow the OAuth setup guide in the docs.

What are the system requirements?

Docker 27+, 2 CPU cores, 4 GB RAM (recommended for small teams), and 5 GB free disk. The bundled EmbeddingGemma model requires outbound HTTPS on first run for caching.

README (reference)

Source of truth, from the repository.

Pindoc

<p> <a href="./README.md"><img alt="English README" src="https://img.shields.io/badge/lang-English-2563eb.svg?style=flat-square"></a> <a href="./README-ko.md"><img alt="Korean README" src="https://img.shields.io/badge/lang-%ED%95%9C%EA%B5%AD%EC%96%B4-6b7280.svg?style=flat-square"></a> </p>

CI License MCP

Code-pinned team memory for AI-assisted development. Agents write the durable record; humans review, discuss, and steer.

Pindoc is a self-hosted project memory system for teams working with AI coding agents. It turns useful agent discoveries into typed artifacts: decisions, debugging paths, task closeouts, verification notes, and code-linked analyses. Every artifact is scoped to a project area and pinned back to commits, files, URLs, resources, or related Pindoc artifacts.

It is still the wiki you never type into, but the point is not automation for its own sake. Pindoc keeps the parts of agent work that teammates and future agents can reuse.

Why It Exists

AI coding sessions are productive, but team context still falls through the cracks:

  • a debugging path dies with the terminal session,
  • the same decision is re-explained to every new agent,
  • useful analysis stays in one operator's chat instead of becoming team knowledge,
  • duplicate documents accumulate across wikis, issue trackers, PRs, and commit messages,
  • in real project environments, the person who finds a problem cannot always change the code immediately; structured evidence helps the team discuss and decide.

Pindoc turns agent work worth keeping into searchable, code-pinned team memory. The next teammate or coding agent can ask Pindoc what matters before it edits.

What Makes Pindoc Different

  • Collaborative memory layer: artifacts are written for teammates and future agents, not as private chat summaries.
  • Agent-only write surface: the Reader UI is for reading and review; durable writes go through agents.
  • MCP-native workflow: tools such as pindoc.context_for_task, pindoc.artifact.propose, and pindoc.task.queue regulate agent behavior instead of acting as a thin CRUD API.
  • Typed artifacts: Decision, Analysis, Debug, Flow, Task, TC, Glossary, and domain-pack types.
  • Code-pinned memory: artifacts can point to commits, files, line ranges, resources, URLs, and related artifacts.
  • Record-worthy by design: Pindoc avoids raw chat archives and keeps only decisions, analyses, debug paths, verification, and task context with future value.
  • Multi-project daemon: one /mcp endpoint can serve multiple projects; each tool call carries project_slug.
  • Self-host first: Docker Compose brings up Postgres, pgvector, the Pindoc daemon, and the Reader SPA.

Public Demo

A read-only public demo is a follow-up track and is not part of this OSS release. Until it ships, the README, docs/, and a self-hosted clone are the primary proof. Operators who want to evaluate Pindoc end-to-end run docker compose up -d --build and inspect their own artifacts.

The follow-up demo plan stays in Public Demo Plan for when a hosted instance is appropriate.

Quick Start

Prerequisites:

  • Docker 27+
  • 2 CPU cores and 4 GB RAM recommended for local dogfood or small-team use
  • 5 GB free disk recommended for Docker images, Postgres data, and the embedding cache; 2 GB is a light fresh-clone minimum
  • outbound HTTPS on first run so the bundled EmbeddingGemma model and runtime can be cached
  • Go 1.25+ only for host-native development
  • Node 20.15+ and pnpm 10+ only for web development outside Docker

The default Docker path includes semantic search through a bundled EmbeddingGemma Q4 ONNX provider, so no embedding sidecar is required. See System Requirements for minimum and optional deployment profiles.

git clone https://github.com/var-gg/pindoc.git
cd pindoc
docker compose up -d --build

To make the running daemon report the exact source revision, pass the current commit through the Compose build argument before building:

export PINDOC_BUILD_COMMIT="$(git rev-parse HEAD)"
docker compose up -d --build

PowerShell users can set the same value with $env:PINDOC_BUILD_COMMIT = git rev-parse HEAD. make compose-up performs this stamping automatically.

Open the Reader:

http://localhost:5830/

Check that the database ledger matches the migrations embedded in the image:

docker compose exec pindoc-server-daemon pindoc-admin schema doctor --json

The command is read-only and exits non-zero for unknown applied migrations, pending migrations, or checksum drift. It never deletes or accepts an unknown schema change automatically.

Preview and repair semantic indexes that are unknown, stale, failed, or were built with a different embedding model:

docker compose exec pindoc-server-daemon pindoc-reembed -dry-run -state needs-refresh
docker compose exec pindoc-server-daemon pindoc-reembed -state needs-refresh

Pindoc records the indexed revision, title/body hashes, model identity, attempt count, and last error in artifact_index_state. Embeddings are fully prepared before old chunks are replaced. If the provider fails, the artifact write can still succeed with index_state.status="failed" and retryable=true, while the last known-good chunks remain searchable. The re-embed command handles each artifact in its own transaction and exits non-zero if any retry still fails.

On a fresh instance, / first asks for the owner identity (display name and email), then routes to the first-project wizard. To open the project wizard directly after identity setup:

http://localhost:5830/projects/new?welcome=1

Repair Ownerless Projects From Older REST Builds

Older builds could create a project through POST /api/projects without a matching project_members owner row. After upgrading, repair any affected project by assigning the configured loopback owner:

INSERT INTO project_members (project_id, user_id, role)
SELECT p.id, s.default_loopback_user_id::uuid, 'owner'
FROM projects p
CROSS JOIN server_settings s
WHERE p.slug = '<project-slug>'
  AND s.default_loopback_user_id IS NOT NULL
ON CONFLICT (project_id, user_id) DO UPDATE SET role = 'owner';

Connect an MCP Client

The Docker daemon exposes one account-level MCP endpoint:

{
  "mcpServers": {
    "pindoc": {
      "type": "http",
      "url": "http://127.0.0.1:5830/mcp"
    }
  }
}

Project scope is not encoded in the URL. Agents pass project_slug on project-scoped tool calls. Workspaces generated by pindoc.harness.install store that slug in PINDOC.md frontmatter. pindoc.workspace.detect resolves the likely slug for the current workspace, but it does not mutate the daemon-wide PINDOC_PROJECT default. In a multi-project Docker daemon, keep passing the detected project_slug explicitly after the session sweep.

completeness=draft is a maturity/trust state, not an unpublished private draft. Accepted MCP writes are still published and Reader-visible when visibility allows. Use visibility=private or the review workflow for content that must not appear on the normal user surface.

Common Workflows

Ask an agent to start work with project context:

Use Pindoc context before editing. Find the current project, inspect assigned
Tasks, then implement the next acceptance item.

Typical MCP loop:

  1. pindoc.workspace.detect
  2. pindoc.task.queue
  3. pindoc.context_for_task
  4. code or doc work
  5. pindoc.artifact.propose
  6. update Task acceptance and closeout state

Asset uploads from Docker Desktop / Windows

pindoc.asset.upload(local_path=...) reads paths from the MCP server host/container, not from the Windows client. For Docker Desktop, copy the host file into the pindoc-server-daemon container first:

pwsh -File tools/push-asset.ps1 A:\path\image.png -ProjectSlug survival-manager

The script prints the JSON input for pindoc.asset.upload, including the container-local /tmp/pindoc-asset-upload/... path.

For Reader-visible inline images, two steps are intentionally separate:

  1. Put ![alt](<asset.blob_url>) in body_markdown; this controls rendering.
  2. Call pindoc.asset.attach with role="inline_image"; this records revision metadata and evidence.

Configuration

The default Docker path is single-user and loopback-only:

VariableDefaultPurpose
PINDOC_DAEMON_PORT5830Host port used by Docker Compose.
PINDOC_PROJECTpindocDefault project for unscoped reads/config.
PINDOC_PUBLIC_BASE_URLhttp://127.0.0.1:${PINDOC_DAEMON_PORT}Public base URL used in generated links and OAuth metadata.
PINDOC_BIND_ADDR127.0.0.1:5830Security intent. Non-loopback values require an IdP or explicit public unauthenticated opt-in.
PINDOC_AUTH_PROVIDERSemptyIdentity providers enabled for external requests. Current provider: github.
PINDOC_ALLOW_PUBLIC_UNAUTHENTICATEDfalseExplicit opt-in for external exposure without an IdP. Use only behind a trusted network/reverse proxy.
PINDOC_FORCE_OAUTH_LOCALfalseDevelopment flag that routes loopback /mcp calls through OAuth bearer auth for local QA.
PINDOC_ALLOWED_ORIGINSemptyComma-separated CORS allowlist. Empty means same-origin only; set explicit origins for cross-origin frontends.
PINDOC_DEV_MODEfalseDevelopment-only flag that permits wildcard CORS for local tooling. Do not enable on public instances.

Do not expose a writable daemon to the public internet without an identity provider. For a public read-only demo, keep /mcp and mutating HTTP routes blocked at the reverse proxy; see SECURITY.md and docs/22-public-demo.md. The daemon also sets baseline security headers itself, including nosniff, clickjacking protection, referrer policy, and hardened asset-blob CSP.

For a writable public or cross-device instance, follow docs/oauth-setup.md. It covers GitHub OAuth App setup, the ${PINDOC_PUBLIC_BASE_URL}/auth/github/callback callback rule, runtime MCP client registration, and local OAuth QA with PINDOC_FORCE_OAUTH_LOCAL.

Development

# Run Go tests. Integration tests that need Postgres are skipped unless
# PINDOC_TEST_DATABASE_URL is set.
go test ./...

# Web checks.
cd web
pnpm install --frozen-lockfile
pnpm typecheck
pnpm test:unit
pnpm build

# Full image build.
docker build -t pindoc-server:local .

To test the OAuth bearer path locally while still connecting through 127.0.0.1, set PINDOC_FORCE_OAUTH_LOCAL=true; the daemon will warn on boot and require Bearer tokens for loopback /mcp calls.

On Windows hosts without a local C toolchain, run Go tests through Docker:

docker run --rm -v "${PWD}:/work" -w /work golang:1.25 go test ./...

Run database integration tests against a disposable Postgres/pgvector database; never point PINDOC_TEST_DATABASE_URL at a personal or production Pindoc database. Test and plugin fixtures must opt into Reader isolation explicitly: set projects.CreateProjectInput.ReaderHidden to true, or set projects.reader_hidden = TRUE when inserting with SQL. Slug-prefix detection is deprecated and no longer runs at request time. Migration 0070 only performs a one-time backfill for fixture prefixes used by older Pindoc releases.

Documentation

Feedback

Long-form questions, feature requests, and design discussions go to GitHub Discussions. Bug reports go to GitHub Issues. The maintainer typically responds within a day.

Status

Pindoc is in active dogfood. The local self-host path, Reader UI, project/area model, artifact proposal flow, task queue, revision history, summaries, and real embedding provider path are implemented. The public OSS launch track is focused on first-run reliability, a read-only dogfood demo, CI, security docs, and clearer collaborative positioning.

License

Apache License 2.0. See LICENSE.

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