1. Conduid
  2. Developer Tools
  3. Ogm MCP Skills
MCP server · Developer Tools

Ogm MCP Skills

MCP Server and AI Agent Skills for OpenGraphMemory

Unclaimed MIT agent-skillsmcp-server
34Low

Scored 11 days ago · breakdown

About Ogm MCP Skills

Ogm MCP Skills is an MCP server published by ardiannurcahya in the Developer Tools category: mCP Server and AI Agent Skills for OpenGraphMemory.

The repository has 5 stars and 2 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/ardiannurcahya/ogm-mcp-skills

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Ogm MCP Skills

Powered by Claude · Grounded in docs

I know everything about Ogm MCP Skills. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 10 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

1 check has not been run yet.

Releases

v0.2.3v0.2.3 · 19 Sep 2026What's Changed feat: add hybrid rag tool, multi-agent harness support, and lifecycle trigger matrix by @ardiannurcahya in https://github.com/ardiannurcahya/ogm-mcp-skills/pull/3 Full Changelog:…
v0.2.2v0.2.2 · 14 Aug 2026Full Changelog: https://github.com/ardiannurcahya/ogm-mcp-skills/compare/v0.2.1...v0.2.2
v0.2.1v0.2.1 · 14 Aug 2026Full Changelog: https://github.com/ardiannurcahya/ogm-mcp-skills/compare/v0.2.0...v0.2.1
v0.2.0v0.2.0 · 14 Aug 2026What's Changed Feat/update port 5000 by @ardiannurcahya in https://github.com/ardiannurcahya/ogm-mcp-skills/pull/1 docs(mcp): clarify degree centrality ranking capability in ogm_get_co… by @ardiannurcahya in…
v0.1.9v0.1.9 · 14 Aug 2026Full Changelog: https://github.com/ardiannurcahya/ogm-mcp-skills/compare/v0.1.8...v0.1.9

README

ogm-mcp-skills

MCP Server & AI Agent Skills for OpenGraphMemory and Codebase Knowledge Graphs.

CI PyPI version MCP Protocol Ruff

Overview · Tools (29) · Integration Modes · Installation · Quick Setup · Client Configs


MCP stdio server and AI Agent Skills for Google Antigravity, Cursor, Claude Code, OpenCode, Hermes Agent, OpenClaw, and OpenAI Codex to OpenGraphMemory and the Codebase Knowledge Graph.

The MCP server uses authenticated OpenGraphMemory REST APIs only. It is stateless: no local database, session mapping, direct PostgreSQL, Neo4j, or object-store access.

Status

Alpha. PyPI releases are published from GitHub Actions on v* tags. Source install is also supported for development.

Tools

  • ogm_health
  • ogm_list_datasets
  • ogm_search_entities
  • ogm_get_entity
  • ogm_get_neighbors
  • ogm_find_path
  • ogm_get_subgraph
  • ogm_get_graph
  • ogm_get_evidence
  • ogm_get_relation_evidence
  • ogm_retrieval_query
  • ogm_upload_document
  • ogm_memory_list_episodes
  • ogm_memory_get_episode
  • ogm_memory_search
  • ogm_memory_create_episode
  • ogm_memory_append_attempt
  • ogm_memory_record_outcome
  • ogm_memory_feedback_episode
  • ogm_memory_supersede_episode
  • ogm_memory_feedback_pattern
  • ogm_memory_supersede_pattern
  • ogm_search_code_symbols
  • ogm_get_code_call_graph
  • ogm_get_code_chunks
  • ogm_recall_code_memory
  • ogm_record_code_fix
  • ogm_sync_code_file
  • ogm_index_codebase

Read tools inspect PostgreSQL-authoritative graph and Agent Memory data. Agent Memory results are historical claims: inspect recorded evidence and verifiers before relying on them. personal-safe permits reviewed document upload, additive Agent Memory records, and code sync; memory-curator additionally permits memory feedback and supersession. No delete, admin, project-create, relation-review, analytics-refresh, semantic-retrieval, or automatic conversation-ingestion tools exist.

Install

Install from PyPI with uv:

uv tool install ogm-mcp-skills

Or run without installing:

uvx ogm-mcp-skills==0.2.3 --version

Automated 1-Command Setup

Automatically copy SKILL.md and merge MCP server configuration into your installed agent harness (Antigravity, Gemini CLI, Claude Desktop, Cursor, etc.):

ogm-mcp-skills setup

Or run directly without installing:

uvx ogm-mcp-skills setup

For source development:

git clone https://github.com/ardiannurcahya/ogm-mcp-skills.git "$HOME/src/ogm-mcp-skills"
cd "$HOME/src/ogm-mcp-skills"
uv sync --locked

Integration Modes: On-Demand Skill vs. Always-On Directives

Choose the integration pattern that best fits your workflow:

Integration Mode Primary File How It Works Best For
On-Demand Skill SKILL.md Dynamically evaluated when user prompts match keyword triggers. Modular setups where OGM is invoked only when explicitly needed.
Always-On Directive AGENTS.md / CLAUDE.md / GEMINI.md / .cursor/rules/ogm.mdc Injected into the agent's system prompt on every session and turn. No triggers required. Production codebases where agents must deterministically check memory, sync AST, and persist fixes.

Enabling Always-On Mode

Copy the directive example matching your AI harness into your workspace root:

  • Universal / OpenClaw / Codex: cp examples/AGENTS.md.example AGENTS.md
  • Cursor: cp examples/cursor/.cursor/rules/ogm.mdc.example .cursor/rules/ogm.mdc
  • Claude Code: cp examples/claude-code/CLAUDE.md.example CLAUDE.md
  • Google Antigravity: cp examples/antigravity/GEMINI.md.example GEMINI.md

Configure

Set these environment variables before starting your MCP client:

OGM_BASE_URL=http://localhost:8000
OGM_API_KEY=<project-api-key>
OGM_PROJECT_ID=<project-uuid>
OGM_PERMISSION_PROFILE=read-only

Use OGM_PERMISSION_PROFILE=read-only for graph and Agent Memory retrieval. Use OGM_PERMISSION_PROFILE=personal-safe for reviewed uploads and additive Agent Memory records. Use memory-curator only for reviewed feedback and supersession.

Optional upload roots:

OGM_UPLOAD_ROOTS=/absolute/path/to/allowed/docs

More options: Configuration.

MCP Client Setup

Claude Code

Add MCP server config to project .mcp.json:

{
  "mcpServers": {
    "ogm": {
      "command": "uvx",
      "args": ["ogm-mcp-skills==0.2.3"],
      "env": {
        "OGM_BASE_URL": "${OGM_BASE_URL}",
        "OGM_API_KEY": "${OGM_API_KEY}",
        "OGM_PROJECT_ID": "${OGM_PROJECT_ID}",
        "OGM_PERMISSION_PROFILE": "${OGM_PERMISSION_PROFILE}"
      }
    }
  }
}

Verify:

claude mcp list

OpenCode

Add MCP server config to opencode.json or opencode.jsonc:

{
  "mcp": {
    "ogm": {
      "type": "local",
      "command": ["uvx", "ogm-mcp-skills==0.2.3"],
      "environment": {
        "OGM_BASE_URL": "{env:OGM_BASE_URL}",
        "OGM_API_KEY": "{env:OGM_API_KEY}",
        "OGM_PROJECT_ID": "{env:OGM_PROJECT_ID}",
        "OGM_PERMISSION_PROFILE": "{env:OGM_PERMISSION_PROFILE}"
      },
      "enabled": true
    }
  }
}

Restart OpenCode after editing config.

Hermes

Add server under mcp_servers:

mcp_servers:
  ogm:
    command: "uvx"
    args:
      - "ogm-mcp-skills==0.2.3"
    env:
      OGM_BASE_URL: "${OGM_BASE_URL}"
      OGM_API_KEY: "${OGM_API_KEY}"
      OGM_PROJECT_ID: "${OGM_PROJECT_ID}"
      OGM_PERMISSION_PROFILE: "${OGM_PERMISSION_PROFILE}"
    enabled: true

Verify:

hermes mcp test ogm

For source development, replace uvx ogm-mcp-skills==0.2.1 with:

uv run --project /absolute/path/ogm-mcp-skills ogm-mcp-skills

MCP uses stdio. Diagnostics go to stderr.

Use

After MCP server is connected, ask your agent to use OGM tools. Start with health and dataset discovery:

Call ogm_health, then ogm_list_datasets.

Search entities in one dataset:

{"dataset_id":"dataset-id","q":"OpenGraphMemory","limit":10}

Inspect graph context with ogm_get_entity, ogm_get_neighbors, ogm_get_subgraph, ogm_get_graph, or ogm_find_path. Use ogm_get_relation_evidence or ogm_get_evidence before making evidence-backed claims.

Retrieve relevant operational experience with ogm_memory_search. Create an episode, append attempts, and record a verified outcome only when profile is personal-safe. Feedback and supersession require memory-curator.

Upload documents only when profile is personal-safe and file path is under OGM_UPLOAD_ROOTS:

Call ogm_upload_document with an approved local file path and dataset/project context.

More Docs

Performance & Token Economics

The MCP server acts as an efficient bridge, converting broad file exploration queries into compact, structured graph and memory payloads:

Workload Raw LLM Context Dump OGM MCP Structured Payload Measured Reduction
Codebase Symbol Lookup ~40k–80k tokens (reading entire folders) ~500–1.5k tokens (ogm_get_code_call_graph) ~90%–95%
Known Bug / Solution Recall ~60k–150k tokens (3–5 turn trial & error) ~1.5k–3k tokens (ogm_recall_code_memory) ~75%–90%
Single-File Codebase Sync Full repo re-index ~10ms delta AST sync (ogm_sync_code_file) Instant

[!NOTE] Token savings apply to repeated patterns, call-graph explorations, and known incident remediations. Unprecedented architectural problems still require exploratory reasoning, but newly verified solutions are immediately preserved for zero-overhead future retrieval.

Validation

uv sync --dev --locked
uv run ruff format --check .
uv run ruff check .
uv run mypy src
uv run pytest -q
uv build

Security

Use project-scoped keys. Keep .env and keys outside upload roots. Start read-only; use personal-safe only for reviewed writes; reserve memory-curator for memory governance. See security.

License

MIT. See LICENSE.

README fetched from the repository 10 hours ago. The original is authoritative.

Questions

About Ogm MCP Skills

How do I install Ogm MCP Skills?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Ogm MCP Skills safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 5 of the 5 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Ogm MCP Skills still maintained?

Yes — the latest release is v0.2.3 (19 Sep 2026), and the last commit was a month ago. The repository has 5 stars.