MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Nothing to run from here
Agentic.ai Directory is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
10
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Independent directory of agentic AI tools — search, compare & recommend via MCP. Read-only.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http agentic-ai-directory-mcp https://agentic.ai/mcp
# 2 — ask your agent for something these tools do
# search_listings, semantic_search, get_listing and 7 more
Agentic.ai Directory costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
U0All 1 server
u00dxk21 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http agentic-ai-directory-mcp https://agentic.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
10 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Search for agentic AI tools by keyword query with optional filters. Use this for keyword-based search. For natural language queries like 'something that automates email', use semantic_search instead. For browsing all tools in a category, use get_category instead.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search query (e.g. 'code review', 'open source coding agent') |
| category | string | no | Filter by category slug (e.g. 'coding-agents', 'general-purpose-agents') |
| cohort | string | no | Filter by cohort: PEOPLE (individual tools) or TEAMS (team/enterprise tools) |
| openSource | boolean | no | Filter to open-source tools only |
| mcpSupport | boolean | no | Filter to tools with MCP (Model Context Protocol) support |
| deploymentModel | string | no | Filter by deployment model |
| autonomyLevel | string | no | Filter by autonomy level |
| minScore | number | no | Minimum agenticness score (default 1 to exclude unscored/junk entries, set to 0 to include all) |
| limit | number | no | Max results to return |
Search for AI tools using natural language with AI-powered semantic matching. Best for conceptual queries like 'something that automates my email workflow'. Supports structured filters to narrow results (e.g., openSource + deploymentModel). For exact name/keyword searches, use search_listings instead. For comparing specific tools, use compare_listings.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Natural language search query |
| category | string | no | Filter by category slug |
| cohort | string | no | Filter by cohort |
| openSource | boolean | no | Filter by open source status (true/false) |
| deploymentModel | string | no | Filter by deployment model |
| mcpSupport | boolean | no | Filter by MCP (Model Context Protocol) support |
| autonomyLevel | string | no | Filter by autonomy level |
| minScore | number | no | Minimum agenticness score (0-36) |
| limit | number | no | Max results to return |
Get full details for one specific AI tool by its slug — includes features, pricing, agenticness scores, and structured attributes. Use this when you know the exact tool slug. To find a slug, use search_listings first. For comparing two tools, use compare_listings. Note: null on boolean fields means 'unknown', false means 'confirmed no'.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | The listing slug (e.g. 'cursor', 'claude-code', 'openclaw') |
Compare exactly two AI tools side-by-side. Returns structured field matrix and 'Choose A if... Choose B if...' verdict. Use this when a user wants to decide between two specific tools. For finding tools first, use search_listings or semantic_search.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug1 | string | yes | First tool's slug (e.g. 'cursor') |
| slug2 | string | yes | Second tool's slug (e.g. 'claude-code') |
Get the full agenticness evaluation breakdown: 9 dimensions (action capability, autonomy, planning, adaptation, state continuity, reliability, interoperability, safety, operator sovereignty) scored 0-4 each (max 36, Agenticness rubric v3.1) with evidence-based reasoning. Use this for deep analysis of one tool's AI agent capabilities. For a quick score, get_listing includes the overall score. For c
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | The listing slug |
Get all categories with descriptions and listing counts. Use this to discover what categories exist before filtering. To get listings IN a category, use get_category with the slug. Categories are split into PEOPLE (individual use) and TEAMS (team/enterprise) cohorts.
No parameter schema on file.
Get all published listings in one specific category, sorted by agenticness score. Use this to browse a category. To see all categories first, use list_categories. To search across ALL categories, use search_listings or semantic_search.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | The category slug (e.g. 'coding-agents', 'general-purpose-agents') |
Get all tags grouped by type (pricing, platform, capability, deployment, model, autonomy, use-case). Use this to discover available filter values. Tags can be used as filters in search_listings. This does NOT return listings — use search_listings or get_category for that.
No parameter schema on file.
Get the most recently added AI tool listings, sorted by creation date. Use this to see what's new. For finding specific tools, use search_listings. For browsing by category, use get_category.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | number | no | Number of listings to return |
Get AI-powered tool recommendations for a specific need. This is the recommended starting point — describe what you're looking for in natural language and get curated, ranked results with explanations. Handles search, filtering, scoring, and ranking in one call. Use this instead of chaining search_listings + get_listing + compare_listings. Examples: - "best coding agent for a small startup on a b
| Parameter | Type | Required | Notes |
|---|---|---|---|
| question | string | yes | Natural language description of what you need. Be specific about your use case, team size, budget, deployment preferences, etc. |
| constraints | object | no | Optional structured constraints to narrow results |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Agentic.ai Directory or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 2.0.0.
2.0.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Agentic.ai Directory can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.