Dactic

MCP server · hosted · v0.1.2 · io.dactic/dactic-mcp

Online · tested 2h agoNEW · 2h agoNew version 1h agoSeen in the registry 54m ago

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

What it does

Dactic is an MCP server, a connector that lets an AI assistant use it as a tool. It is hosted: an assistant connects to it over the internet, nothing to install.

No capability identified yet from its description.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence). None of this is a test of the tool.

At a glance

Hosted (remote)YES

Local installNO

Live checkOnline · 34 tools

Version0.1.2

PriceNot in the registry

First seen04 Nov 2026

Last checked54m ago

How to connect

As declared in the Official MCP Registry · hosted endpoint tested by Electra Index 2h ago (live check)

Hosted endpoint

https://mcp.app.dactic.io/mcp streamable-http

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

MCP settings (Claude Desktop, Cursor and other MCP clients)

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

Live check

Electra Index connected to the hosted endpoint 2h ago

ONLINE Dactic answered an MCP connection on 04 Nov 2026 and introduced itself as dactic-mcp 0.7.0 (MCP protocol 2025-06-18).

34 tools offered to AI assistants

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 get_agent for its details. Returns not_found when you have none.
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 another user's agent.
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 exactly. Returns not_ready when the agent has no approved instructions, and not_found
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 includes the agent's complete instructions and skills. Retrying the same reques
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 their meaning.
check_freshness · Is my Dactic knowledge up to date? Reports each surface (app sync, confirmed knowledge, terminology, approved playbook, department policies, skills, and optionally one agent) as fresh, stale, empty or unknown, with a recommendation for anyt
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 closest matches; coverage says which). Returns not_found when none are publishe
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 skill. Returns not_found when you have none.
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_profile holds your work context, skills, agents and connected apps. When nothing
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 instructions and skills. Without: your most relevant skills. Plus your confirmed knowled
get_user_context · Your own Dactic profile for personalising answers: job title, team, department and role; work context (role, guardrails, preferences); confirmed knowledge (paginated; unconfirmed files are counted, not shown); connected apps; tools you use.

Show 22 more

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 rubric, with the rule that applied in `basis`. Rubric — terminology: high when confi
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 get a preview and a confirmation_code and nothing is saved; show the preview, as
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 suggested change, and says how many policies were checked. Present the result 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 suggestion (promote, keep, review or trim) with its basis. Suggestions are advice and
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 returns a task_id at once; call get_task_status with it until the status is succeede
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 work (synthesize_agent only reuses existing skills). Before calling, ask the us
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 tasks; anything else is not_found.
search · Search your Dactic knowledge (your skills, agents and approved playbooks, and your organization's confirmed terminology, plus current department policies). Returns results with an id, title and link; call fetch with an id for the full text.
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 remain unknown. Never rolls back or deploys.
find_context_gaps · Assess task preparation using available knowledge, skills, policies, terminology and sync readiness. Returns blocking/nonblocking gaps; unknown requirements or execution permissions remain unknown.
get_entity_context · Follow bounded explicit stored links from an approved board, accessible agent/project or confirmed term. Returns entities, relationship bases, citations and missing-link gaps. Text similarity never establishes a dependency.
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. Expired cursors or changed scopes/permissions require a fresh baseline. Returns sna
retrieve_similar_cases · Find comparable recent runs or resolved feedback owned by you. Returns recorded summaries/outcomes, citations and uncertainty; missing actions/outcomes remain unknown. Past outcomes do not guarantee success.
query_work_dataset · Query the approved synced Monday item view with supported scalar filters, sorting, grouping and count/sum aggregation. Fields are base identifiers or column:<stored-column-id>. Returns typed rows, pagination and explicit sync/coverage limit
guide_workflow · Build advisory human-reviewed workflow options using accessible agents, context gaps, connection/sync readiness and provisional platform capabilities. Separates source, execution-platform and host connectors. Returns next actions and conser
recommend_new_agents · After confirming the user's goal, save a new recommendation iteration containing validated Claude draft proposals from their own skills/context. Optional priorities produce up to three proposals. A proposal never copies an agent or draft th
deploy_agent · First deployment of your selected saved draft. Call without confirmation_code for a preview, show it to the user and obtain authorization, then repeat the same definition/target with the code. Checks skills, source approvals and existing de

What "online" means: the server answered an MCP connection at the time of the check. It is not a guarantee of security, quality or continuous uptime. How we test: we open an MCP session and ask for the tool list, as an AI assistant would. We never run a tool and never send a key. Checked every few days. Method

Is this your server? Monitoring Pro: a check every 30 minutes and an email within the hour when it stops answering. Launch offer: $39.99 once, for life.

Facts & evidence

Each fact shows where it was seen and when.

Fact	Value	Evidence	Source	Last confirmed
Version	0.1.2	DECLARED	SRC-001 Official MCP Registry	54m ago
Repository	https://github.com/Dactic-Monday/dactic-mcp	DECLARED	SRC-001 Official MCP Registry	54m ago
Hosted endpoint	https://mcp.app.dactic.io/mcp	DECLARED	SRC-001 Official MCP Registry	54m ago
Local install (package)	no	DECLARED	SRC-001 Official MCP Registry	54m ago
Remote access (hosted)	yes	DECLARED	SRC-001 Official MCP Registry	54m ago
Website	https://dactic.io	DECLARED	SRC-001 Official MCP Registry	54m ago
Registry status	active	DECLARED	SRC-001 Official MCP Registry	54m ago
MCP server	yes	DECLARED	SRC-001 Official MCP Registry	54m ago

Change history

VERSION04 Nov 2026
0.1.1 → 0.1.2
VERSION04 Nov 2026
0.1.0 → 0.1.1
NEW04 Nov 2026
first seen in the index

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Its hosted endpoint can be monitored. Monitoring Pro connects every 30 minutes like an AI assistant, emails you within the hour when it stops answering, keeps a 90-day availability history and adds your answer rate to your badge.

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Questions about Dactic

How do I connect Dactic?

Use the hosted endpoint https://mcp.app.dactic.io/mcp in your assistant's MCP settings. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.

What tools does Dactic offer?

When Electra Index connected on 04 Nov 2026, it listed 34 tools: list_agents, get_agent, load_agent, invoke_agent, resolve_terms, check_freshness, get_policy, list_skills and more. The full list is in "Live check" above.

Is Dactic online?

Yes. Its hosted endpoint answered an MCP connection from Electra Index 2h ago.