Skip to main content

Agent-first MCP server for capturing and recalling ideas — the agent's and their human's.

Project description

ideahub-mcp

An agent-first MCP server for capturing and recalling ideas — the agent's and their human's.

The primary user is a model. Tools are short, imperative, example-laden; errors carry a repair path; scope and actor resolve from context so the agent doesn't have to ask.

Tools

Tool Purpose
capture Durable idea. Use when work produces something worth preserving beyond the task.
checkpoint Lightweight working-memory trace. Use mid-task for observations, decisions, next steps.
promote Promote a checkpoint to a durable idea, preserving its id, links, and provenance.
dump Text-blob summary of the scoped corpus under a token budget.
search FTS5 + bm25 ranked search with snippets. Auto-tokenizes by default.
list Filter ideas by scope, actor, tags, date range.
get Full detail for one idea, with notes and outbound links.
related Nearest neighbors by tag overlap → shared originator → recency.
annotate Append a free-text note to an idea without mutating it.
archive Hide an idea; write a typed archive note with reason.
link Connect two ideas (related, supersedes, evolved_from, duplicate).
recognize Inspect the actor table.
ping Cheap no-side-effect health probe for connection/debugging.

Writeback Loop

ideahub-mcp is designed to behave like working memory for an agent, not just searchable storage. Two write verbs close that loop:

  • capture writes a durable idea that should survive the task.
  • checkpoint writes a lightweight in-flight trace — observations, decisions, assumptions, open questions — without the semantic weight of a full idea.

When a checkpoint hardens into something load-bearing, promote flips its kind to idea while preserving the id, so existing links, annotations, and task_ref groupings carry forward unchanged. Promotion is one-way; an idea cannot be demoted.

All write-path verbs (capture, checkpoint, annotate, link) accept an optional task_ref — a free-form string that groups every write from the same task. It is normalized to lowercase kebab-case at the boundary, so "Writeback Phase 1", "writeback_phase_1", and "writeback-phase-1" collapse onto the same key.

capture and checkpoint return scored annotate_candidates and related_candidates in their response so the model sees where a fresh trace probably belongs (usually as an annotation on an existing idea) without having to search. The candidates parameter (default 5, max 10, 0 to skip) lets a caller cap or skip that envelope when fire-and-forget is the right move.

Checkpoints are default-excluded from search, list, and dump so cheap traces do not bleed into orientation surfaces — opt in with include_checkpoints=True.

Deduplication

capture runs two dedup paths before inserting:

  • Fast path — same actor, same content, same scope, within 5 seconds: silently returns the existing id. This catches accidental double-fires.
  • Content-hash path — same scope, same SHA-256 over normalized content (whitespace-collapsed, lowercased), any actor, any time, against live (non-archived) kind='idea' rows: returns the existing id, merges incoming tags into the row, and appends a kind='dup_attempt' note recording the second actor and tag delta.

Hash dedup makes re-derivation of the same idea observable in the row's note stream rather than silently creating duplicates.

Search

search defaults to query_mode='auto', which tokenizes the query and quotes each token so FTS5 operators (-, :, *, etc.) are treated as content. This is the right mode for searching kebab-case identifiers — task_refs, branch names, ULIDs.

For phrase queries, NEAR, or column-qualified syntax, pass query_mode='raw'. Raw mode validates the query and raises a loud error on syntax failure rather than the silent empty-result FTS5 returns by default.

Discovery And Health

ideahub-mcp is intentionally tool-first, not resource-first. A client may show a healthy connection even when list_resources() is sparse or empty.

To make discovery cheap and host-agnostic, the server exposes:

  • ping: a no-side-effect tool for "is the server connected and responsive?"
  • ideahub://status: a status resource that reports package version, storage paths, and the current tool surface.

That design supports hosts that favor different MCP surfaces. Some clients reason primarily over tools. Others probe resources first. A healthy server should be easy to verify in either style.

For the full compatibility rubric, see docs/mcp-health.md.

Install

uvx ideahub-mcp        # try it
uv tool install ideahub-mcp   # keep it around

Claude Code

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "ideahub": {
      "command": "uvx",
      "args": ["ideahub-mcp"],
      "env": {
        "IDEAHUB_MCP_HOME": "/Users/you/.ideahub-mcp",
        "IDEAHUB_ACTOR": "human:you"
      }
    }
  }
}

Configuration

Var Default Purpose
IDEAHUB_MCP_HOME ~/.ideahub-mcp/ Data directory (SQLite store, logs, backups).
IDEAHUB_ACTOR Fallback actor id (human:you or agent:name).
IDEAHUB_SCOPE Fallback scope when cwd isn't a git repo.

Actor resolution: explicit arg → MCP clientInfo.nameIDEAHUB_ACTOR → error. Scope resolution: explicit arg → IDEAHUB_SCOPErepo:<git-toplevel>global.

Storage

One SQLite file with WAL, FTS5, and hand-rolled migrations. No ORM. Daily snapshots to $IDEAHUB_MCP_HOME/backups/ with 14-day retention.

Develop

uv sync --dev
uv run pytest
uv run ruff check .
uv run pyright

License

MIT.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ideahub_mcp-0.3.0.tar.gz (112.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ideahub_mcp-0.3.0-py3-none-any.whl (40.0 kB view details)

Uploaded Python 3

File details

Details for the file ideahub_mcp-0.3.0.tar.gz.

File metadata

  • Download URL: ideahub_mcp-0.3.0.tar.gz
  • Upload date:
  • Size: 112.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ideahub_mcp-0.3.0.tar.gz
Algorithm Hash digest
SHA256 7e2891bdc70f7ff178c6f90559d174fe39113dc58dbbe939aa6880b56a937742
MD5 b5d89edfe54946aa1d4e23a2f9639add
BLAKE2b-256 4f82b0bd299be60ab41871b1e4d55d0fdca2b521e00325603b3ac9606953ed1a

See more details on using hashes here.

Provenance

The following attestation bundles were made for ideahub_mcp-0.3.0.tar.gz:

Publisher: publish.yml on CobraChickenAI/ideahub-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ideahub_mcp-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: ideahub_mcp-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 40.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ideahub_mcp-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 95c2301ee41f1e7bfdbc4ce3089c6868399184f8a359e4e5735bd557eee3c6f2
MD5 344f87bd1c34138994bc3a2c825945c4
BLAKE2b-256 f6d52933cc3c842ac0acd2d8d21aeb891637e58c938400f7c897548bc1fdcb47

See more details on using hashes here.

Provenance

The following attestation bundles were made for ideahub_mcp-0.3.0-py3-none-any.whl:

Publisher: publish.yml on CobraChickenAI/ideahub-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page