io.dactic/dactic-mcp

up checked 2026-11-11T10:38:29.951Z

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Publisher-provided title

Dactic

Publisher-provided description

Connect AI clients to your Dactic work context through a hosted MCP service.

Summary by lookupd

Lets an agent search and fetch a user's Dactic knowledge, check drafts against policy, and load or run stored agents and skills.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http dactic https://mcp.app.dactic.io/mcp

Codex, remote (streamable-http)

codex mcp add dactic --url https://mcp.app.dactic.io/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "dactic": {
      "url": "https://mcp.app.dactic.io/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (showing 30 of 34)

Publisher-provided text

• list_agents List the Dactic agents you (the signed-in user) have deployed, newest first. Returns each agent's id, name, platform and status. Use load_agent to run one or ge
• get_agent Get one of your Dactic agents by id: its name, platform, status, complete instructions and every skill (name, description, full procedure). Never returns anothe
• load_agent Load one of your Dactic agents (by agent_id or exact agent_name) so you can run it in this chat: returns its complete instructions and skills. Follow them exact
• invoke_agent Run one of your deployed Dactic agents. Claude agents start a Managed Agent session; Monday agents are run by Monday's own board automation. The response always
• resolve_terms Look up what company-specific terms mean, from your organization's confirmed Dactic terminology only. Terms that aren't confirmed come back in gaps; never guess
• check_freshness Is my Dactic knowledge up to date? Reports each surface (app sync, knowledge, terminology, playbook, department policies, skills, and optionally one agent) as f
• get_policy Get your department's current policies with their source document. With query: the policies that apply to it (all of them when your department has few, else the
• list_skills List your active Dactic skills (procedures derived from your interviews). disclosure_tier L1 returns a catalog; L2/L3 add the procedure. Use get_skill for one s
• get_skill Get one of your Dactic skills by id, with its full procedure at disclosure_tier L3.
• ask_knowledge Answer a question from your own Dactic context: matches holds evidence from your synced work data and current department policies related to the question; your_
• get_context_bundle Get everything a task needs from Dactic in one call; use it before doing a task, especially when running an agent. With agent_id: that agent's complete instruct
• get_user_context Your own Dactic profile for personalising answers: job title, team, department and role; work context (role, guardrails, preferences); knowledge files (paginate
• get_knowledge_provenance Where did that come from? For refs returned by other Dactic tools (1-20), describes each item's source and a confidence of high, medium or low from a fixed rubr
• submit_agent_feedback File feedback about one of your own Dactic agents (e.g. 'it keeps CC'ing finance'). Quote the user's words in detail. First call without confirmation_code: you
• check_against_policy Advisory check of a draft reply, plan or action against your department's Dactic policies. Returns findings that quote the policy and the draft verbatim, with a
• get_skill_usage How often your Dactic skills were listed and loaded by AI clients (ChatGPT, Claude…) over the last 7, 30 or 90 days, how many live agents use each, and a sugges
• synthesize_agent Draft a new Dactic agent for a task the user describes, built only from the user's own Dactic skills, policies and work context. Runs in the background: it retu
• create_agent_from_process Draft a new Dactic agent, and the new skills it needs, from a process the user describes in this chat — use this when the user's existing skills don't cover the
• get_task_status Status of a background task you started (e.g. synthesize_agent): queued, running, succeeded (with its result) or failed (with error_message). Only your own task
• search Search your Dactic knowledge (your skills, agents and playbooks, and your organization's confirmed terminology, plus current department policies). Returns resul
• fetch Fetch the full text of one Dactic item by the id search returned, with a link to it.
• get_usage Your Dactic AI usage (tokens by operation) over the last N days; scope=org is for org admins.
• get_sync_status Report recorded sync progress, last successful sync, approved source coverage and safe recovery guidance. Credential linkage is not proof of current access.
• get_feedback_status Follow the recorded processing/application state of your submitted agent feedback. No immediate agent change is implied.
• recommend_agent Match a task to accessible deployed agents by their stored instructions and skills. Returns candidate evidence and limitations; never runs or creates an agent.
• compare_agent_versions Compare two stored artifact versions of the same accessible agent/platform, with instruction diffs and skill additions/removals. Missing guardrails/parameters r
• find_context_gaps Assess task preparation using available knowledge, skills, policies, terminology and sync readiness. Returns blocking/nonblocking gaps; unknown requirements or
• get_entity_context Follow bounded explicit stored links from an approved board, accessible agent/project or confirmed term. Returns entities, relationship bases, citations and mis
• get_context_delta Retrieve added/updated/removed permitted knowledge and published policies since an actor-bound snapshot cursor. Omit cursor for a complete bounded baseline. Exp
• retrieve_similar_cases Find comparable recent runs or resolved feedback owned by you. Returns recorded summaries/outcomes, citations and uncertainty; missing actions/outcomes remain u

Details

• Version: 0.1.2
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 591 ms
• First indexed: 2026-11-04T11:17:19.492Z
• Last seen in registry: 2026-11-04T12:17:18.923Z
• Repository: https://github.com/Dactic-Monday/dactic-mcp
• Website: https://dactic.io

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