knora-mcp 0.1.0

MCP server that exposes the Knora institutional-memory platform to AI agents

Knora MCP Server

An MCP (Model Context Protocol) server that exposes the full Knora institutional-memory platform to AI agents. Once connected, Claude (or any MCP-compatible agent) can search, query, create, and manage your organisation's knowledge base directly from a conversation.

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What the server does

The Knora MCP server wraps the Knora REST API and exposes it as ~80 MCP tools organised into these categories:

Category	What agents can do
Query & Search	Ask natural-language questions (RAG), semantic search, view query history, find documentation gaps
Knowledge Management	Create/read/update/delete entries, verify, flag, relate, bulk import/export, manage tags and departments
Capture	Quick notes, manual entries, voice upload (Whisper), document upload (PDF/Word/Excel/image), interviews, shift logs
Admin	Invite/manage members, update roles, org settings, API keys, webhooks, integrations
Analytics	Dashboard overview, bus factor risk, knowledge health score, staleness report, query analytics

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Installation

# From the repo root
pip install -e ./mcp

# Or install directly from the mcp/ directory
cd mcp
pip install -e .

Requirements: Python 3.11+, a running Knora backend.

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Configuration

All configuration is via environment variables. No config file is required.

Required — API endpoint

Variable	Default	Description
KNORA_API_URL	http://localhost:5001/api/v1	Base URL of the Knora REST API

Required — Authentication (one of the following)

Authentication is resolved in this priority order:

Option 1 — API key (recommended for production)

export KNORA_API_KEY=knora_live_xxxxxxxxxxxxxxxxxxxx

API keys are long-lived and org-scoped. Create one via knora_create_api_key or the Knora web app (Growth plan required).

Option 2 — JWT token

export KNORA_JWT_TOKEN=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...

Short-lived access token. The client refreshes it automatically when it expires.

Option 3 — Email + password (development)

export KNORA_EMAIL=[e-mail]
export KNORA_PASSWORD=your-password

The server logs in on startup and acquires a JWT automatically.

Optional — HTTP client tuning

Variable	Default	Description
KNORA_TIMEOUT	30	Request timeout in seconds
KNORA_MAX_RETRIES	3	Max retries on 429 / 5xx
KNORA_RETRY_BACKOFF	1.0	Initial back-off delay in seconds

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Running the server

# Stdio transport — default for agent integrations
python -m knora_mcp

# Equivalent: run the server module directly
python -m knora_mcp.server

# Via the MCP CLI (after pip install)
mcp run knora-mcp

# Direct CLI entry point (after pip install)
knora-mcp

The server communicates over stdio (stdin/stdout), which is the standard transport for Claude Desktop and Claude Code integrations.

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Adding to Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "knora": {
      "command": "python",
      "args": ["-m", "knora_mcp"],
      "env": {
        "KNORA_API_URL": "https://your-knora-instance.com/api/v1",
        "KNORA_API_KEY": "knora_live_xxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

If you installed into a virtual environment, use the full path to the Python interpreter:

{
  "mcpServers": {
    "knora": {
      "command": "/path/to/venv/bin/python",
      "args": ["-m", "knora_mcp"],
      "env": {
        "KNORA_API_URL": "https://your-knora-instance.com/api/v1",
        "KNORA_API_KEY": "knora_live_xxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

Restart Claude Desktop after saving the file.

---

Adding to Claude Code

Add the server to .claude/settings.json in your project (or ~/.claude/settings.json for global access):

{
  "mcpServers": {
    "knora": {
      "command": "python",
      "args": ["-m", "knora_mcp"],
      "env": {
        "KNORA_API_URL": "https://your-knora-instance.com/api/v1",
        "KNORA_API_KEY": "knora_live_xxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

Or use the Claude Code CLI:

claude mcp add knora -- python -m knora_mcp

Then set the env vars in your shell before starting Claude Code, or add them to the env block above.

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Tool Reference

Query & Search

knora_ask

Ask a natural-language question and receive an AI-generated answer with source citations (RAG). If no relevant knowledge exists, the question is logged as a gap for managers to review.

{
  "question": "How do we handle supplier delays?",
  "language": "en"
}

Returns { answer, sources[], confidence, language, query_id }.

---

knora_search

Semantic search — finds entries by meaning, not just keywords. Faster than knora_ask; returns raw entries without generating an answer. Cross-language: an Arabic query finds English entries and vice versa.

{
  "query": "onboarding process for new hires",
  "limit": 5,
  "department": "Engineering"
}

---

knora_query_history

Return the current user's recent query history.

{ "limit": 50 }

---

knora_find_gaps / knora_list_gaps

List questions that were asked but could not be answered — these are documentation gaps that should be filled. Requires manager or admin role.

{ "department": "Operations", "limit": 20 }

---

knora_resolve_gap

Mark a documentation gap as resolved by linking it to a knowledge entry that answers it.

{ "gap_id": "<uuid>", "entry_id": "<uuid>" }

---

knora_query_analytics

Aggregate query analytics: total queries, answer rate, trending topics, and unanswered questions. Requires admin role and Growth plan.

---

knora_query_stats

Raw query and gap statistics from a single API call. Requires admin role and Growth plan.

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Knowledge Management

knora_list_knowledge / knora_list_entries

List knowledge entries with optional filters and pagination.

{
  "status": "active",
  "language": "en",
  "search": "maintenance",
  "per_page": 20
}

Filters: page, per_page, department_id, tag_ids, status (active|archived|needs_review|outdated), visibility, language (ar|en|mixed), confidence (high|medium|low), search.

---

knora_get_knowledge / knora_get_entry

Fetch a single knowledge entry by UUID with all metadata, tags, department, related entries, and version count.

{ "entry_id": "550e8400-e29b-41d4-a716-446655440000" }

---

knora_create_knowledge / knora_create_entry

Create a new knowledge entry. Immediately stored — no async processing.

{
  "title": "Supplier delay escalation process",
  "content": "When a supplier reports a delay of more than 48 hours...",
  "language": "en",
  "tag_ids": ["<tag-uuid>"],
  "department_id": "<dept-uuid>",
  "confidence": "high"
}

---

knora_update_knowledge / knora_update_entry

Update an existing entry. Only supply the fields to change — all others are preserved. A version record is created automatically.

{
  "entry_id": "<uuid>",
  "content": "Updated content...",
  "status": "active"
}

---

knora_delete_knowledge

Soft-delete (archive) a knowledge entry. Not permanently removed.

{ "entry_id": "<uuid>" }

---

knora_verify_knowledge / knora_verify_entry

Mark an entry as verified. Verified entries have higher trust and appear first in query results. Requires manager or admin role.

{ "entry_id": "<uuid>" }

---

knora_flag_knowledge

Flag an entry as needing review — useful when content may be stale, inaccurate, or incomplete.

{ "entry_id": "<uuid>" }

---

knora_get_versions

List the full version history of a knowledge entry, newest first.

{ "entry_id": "<uuid>" }

---

knora_relate_entries

Link two knowledge entries as "related". Related entries appear together in query results and the knowledge graph.

{ "entry_id": "<uuid>", "related_entry_id": "<uuid>" }

---

knora_unrelate_entries

Remove the relationship link between two entries.

{ "entry_id": "<uuid>", "related_id": "<uuid>" }

---

knora_find_similar

Find entries semantically similar to a given entry using vector embeddings. Results are ranked by cosine similarity.

{ "entry_id": "<uuid>", "limit": 5 }

---

knora_find_duplicates

Find potential duplicate entries. Supply entry_id to check a specific entry, or omit to trigger an org-wide async scan.

{ "entry_id": "<uuid>", "threshold": 0.92 }

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knora_bulk_import

Import multiple entries at once from a JSON array. Requires Growth plan. Each entry must have title and content.

{
  "entries": [
    { "title": "Entry A", "content": "..." },
    { "title": "Entry B", "content": "..." }
  ]
}

---

knora_export_knowledge

Export all knowledge entries as a JSON array. Requires Growth plan.

{ "status": "active", "language": "en" }

---

knora_list_tags

List all tags in the organisation.

---

knora_create_tag

Create a new tag. Requires manager or admin role.

{ "name": "safety", "color": "#FF5733" }

---

knora_delete_tag

Delete a tag and remove it from all entries. Requires manager or admin role.

{ "tag_id": "<uuid>" }

---

knora_list_departments

List all departments in the organisation.

---

knora_create_department

Create a new department. Requires manager or admin role.

{ "name": "Maintenance", "description": "Field maintenance teams" }

---

knora_update_department

Update a department. Requires manager or admin role.

{ "dept_id": "<uuid>", "name": "Field Maintenance" }

---

Capture

knora_quick_note

Fastest capture path — store a piece of knowledge immediately. Title is auto-generated if not supplied.

{
  "content": "Discovered that the valve seal on unit 7 must be replaced every 6 months, not annually.",
  "tags": ["<tag-uuid>"]
}

---

knora_manual_entry

Create a knowledge entry from user-written content via the capture API (equivalent to the manual entry form in the web app).

{
  "title": "Weekly handover checklist",
  "content": "...",
  "department_id": "<uuid>",
  "language": "en"
}

---

knora_upload_document

Upload a PDF, Word, Excel, or image file. Knora extracts text and creates knowledge entries asynchronously. Poll with knora_check_job.

{
  "file_path": "/tmp/maintenance_manual.pdf"
}

Returns { job_id, status }.

---

knora_check_job

Poll a document or voice capture job for completion. Status: pending → processing → completed | failed. On completion, result_entry_id contains the created entry UUID.

{ "job_id": "<uuid>", "job_type": "document" }

---

knora_list_document_jobs / knora_get_document_job

List or inspect document capture jobs.

---

knora_upload_voice

Upload an audio file for voice-to-knowledge processing. Transcribed via Whisper, then Claude extracts structured knowledge. Formats: mp3, mp4, m4a, wav, webm, ogg, flac (max 25 MB).

{ "file_path": "/tmp/interview_recording.m4a" }

---

knora_list_voice_jobs / knora_get_voice_job

List or inspect voice capture jobs.

---

knora_list_interview_templates / knora_list_templates

List structured interview templates. Requires Growth plan.

---

knora_create_template

Create an interview template with ordered questions. Requires manager or admin role and Growth plan.

{
  "name": "Maintenance Supervisor Handover",
  "role_target": "maintenance_supervisor",
  "questions": [
    "What incidents occurred during your shift?",
    "What equipment is currently out of service?",
    "What tasks are pending for the next shift?"
  ]
}

---

knora_start_interview

Start a structured interview session. Returns session_id and the first question.

{ "template_id": "<uuid>", "interviewee_id": "<uuid>" }

---

knora_answer_question

Submit an answer to the current interview question. Returns the next question or status: complete when done.

{
  "session_id": "<uuid>",
  "answer_text": "Pump 3 was offline for 2 hours due to a seal failure.",
  "question_index": 0
}

---

knora_complete_session

Complete an interview session and trigger asynchronous knowledge extraction. Claude processes all answers and creates knowledge entries.

{ "session_id": "<uuid>" }

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knora_create_shift_log

Create a supervisor shift-end log (saved as draft). Requires Growth plan.

{
  "shift_date": "2026-06-01T08:00:00",
  "notes": "Replaced seal on unit 7. Pump 3 back online by 10:30.",
  "department_id": "<uuid>"
}

---

knora_submit_shift_log

Submit a shift log and trigger asynchronous knowledge extraction. Cannot be edited after submission.

{ "log_id": "<uuid>" }

---

Admin

knora_get_me

Return the authenticated user's profile.

---

knora_update_me

Update the authenticated user's name or department.

{ "name": "Baraa Al-Rashid", "department": "Engineering" }

---

knora_invite_member

Invite a new user to the organisation. Requires admin or manager role.

{
  "email": "[e-mail]",
  "name": "Jane Smith",
  "role": "member",
  "department": "Operations"
}

---

knora_list_members

List all active members of the organisation.

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knora_update_member_role

Change a member's role. Requires admin role.

{ "user_id": "<uuid>", "role": "manager" }

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knora_remove_member

Deactivate a member (soft removal). Requires admin role.

{ "user_id": "<uuid>" }

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knora_get_org / knora_update_org

Get or update organisation settings (name, default language).

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knora_list_connectors

List available integration connectors. Requires admin or manager role.

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knora_list_integrations

List active integrations with sync status and last sync timestamp. An organisation may have multiple integrations of the same connector type (e.g. two Slack workspaces).

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knora_trigger_sync

Trigger an immediate manual sync for a connected integration. Requires admin role.

{ "integration_id": "<uuid>" }

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knora_list_api_keys / knora_create_api_key / knora_revoke_api_key

Manage API keys. The full key value is returned once on creation — save it immediately. Requires Growth plan.

{ "name": "Claude Code integration" }

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knora_list_webhooks / knora_create_webhook / knora_delete_webhook

Manage webhook endpoints for real-time event notifications. Events: knowledge.created, knowledge.updated, knowledge.deleted, member.invited, member.removed, query.asked. Requires Growth plan.

{
  "url": "https://your-service.com/hooks/knora",
  "events": ["knowledge.created", "query.asked"]
}

---

Analytics

knora_dashboard

Quick dashboard snapshot: total_entries, total_users, health_score, recent_activity. Requires admin or manager role and Growth plan.

---

knora_dashboard_overview

Full dashboard data including query counts and all activity metrics.

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knora_dashboard_activity

Recent activity feed: entry creates, verifications, queries, flags.

{ "limit": 20 }

---

knora_dashboard_departments

Per-department statistics: entry count, coverage percentage, risk level.

---

knora_dashboard_trending

Most frequently asked questions in the last N days.

{ "days": 7 }

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knora_bus_factor

Organisation-wide bus factor risk analysis: risk overview, critical-risk people, and per-department scores. Requires admin or manager role and Growth plan.

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knora_bus_factor_overview

Raw bus factor summary for the whole organisation.

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knora_bus_factor_person

Bus factor risk score for a specific person, including what knowledge they exclusively own.

{ "user_id": "<uuid>" }

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knora_bus_factor_department

Bus factor risk breakdown for a specific department.

{ "dept_id": "<uuid>" }

---

knora_bus_factor_critical

Only the people and departments at CRITICAL risk level — use for dashboard alerts.

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knora_staleness_report

Knowledge staleness report: entries not reviewed within the threshold window, plus aggregate stats.

{ "days": 30 }

Returns { stale_entries[], stats: { stale_count, total_entries, review_rate } }.

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knora_health_score

Knowledge health score (0–100) broken into: coverage, freshness, verification rate, gap rate. Requires admin or manager role and Growth plan.

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knora_get_graph

Knowledge graph: nodes (entries), edges (relationships), and clusters (topic groupings). Optionally filter by department.

{ "max_nodes": 100, "department": "<uuid>" }

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knora_auto_link

Trigger automatic linking of semantically similar entries via a background task. Requires admin or manager role.

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knora_plan_info

Current subscription plan, usage, limits, and trial days remaining.

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knora_health

Check whether the Knora backend is reachable. No authentication required.

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Example workflows

Research + capture loop

1. knora_ask("What is our current process for X?")
2. knora_search("X process", limit=5)          # find related entries
3. knora_quick_note("Learned today: ...")       # capture new insight
4. knora_relate_entries(new_id, related_id)     # link to existing entries

Knowledge audit

1. knora_dashboard()                            # health overview
2. knora_staleness_report(days=60)              # find stale content
3. knora_find_gaps()                            # find missing documentation
4. knora_bus_factor_critical()                  # find knowledge silos

Document ingestion

1. knora_upload_document(file_path="/tmp/manual.pdf")
2. knora_check_job(job_id=...) until status=="completed"
3. knora_get_entry(entry_id=result_entry_id)
4. knora_verify_entry(entry_id=...)