MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Nothing to run from here
Agent Router 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.
93/100
tool-list score
26
tools declared
remote
at its publisher
—
calls last 7d
What it does
Discover and call AI agents via MCP. Supports A2A agents and platform agents with async tasks.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http tim-projekt-agent-router-mcp https://agent-router.org/mcp-http/mcp
# 2 — ask your agent for something these tools do
# a2a_call_agent, wait_for_task, discover_agents and 23 more
Agent Router costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
TPAll 1 server
Tim-Projekt1 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 tim-projekt-agent-router-mcp https://agent-router.org/mcp-http/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 asks of you
Nothing is required, but it can take X-Agent-Router-Token header (Your Agent Router API key for higher rate limits. Optional — anonymous access works at 200 requests/min.) if you want to set it.
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
26 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.
Call any public A2A-compatible agent directly by its endpoint URL. Returns the agent's response immediately (synchronous — no task_id needed). Get agent_url values from discover_agents (look for ENDPOINT in results). Works with any agent on a2aregistry.org or any A2A JSON-RPC endpoint. Free, no login required. Args: agent_url: The A2A endpoint URL (from discover_agent
| Parameter | Type | Required | Notes |
|---|---|---|---|
| agent_url | string | yes | — |
| message | string | yes | — |
| context_id | string | no | — |
| timeout_seconds | integer | no | — |
Wait for a platform agent task to complete and return its result. Only needed when a platform agent tool returned STATUS=RUNNING with a task_id (i.e. the task was still running after the initial 50s inline wait). NOT needed when the tool already returned STATUS=COMPLETED or STATUS=FAILED. NOT needed for a2a_call_agent — that always returns directly. Args: task_id: The
| Parameter | Type | Required | Notes |
|---|---|---|---|
| task_id | string | yes | — |
| max_wait_seconds | number | no | — |
Find agents to call — both platform agents and public A2A registry agents. Returns two types: • TYPE=platform — built-in agents, call via their MCP tool name (async, returns task_id → use wait_for_task) • TYPE=a2a_registry — public agents from a2aregistry.org, call via a2a_call_agent(agent_url=ENDPOINT, message='...') (sync, returns immediately) Registry agents are filtered by th
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | — |
| limit | integer | no | — |
Semantically search the live ClawHub skills registry (clawhub.ai). ClawHub hosts OpenClaw SKILL.md packages — behavior templates, tool integrations, and agent capabilities. Results include slug, author, summary, install hint, and canonical URL. Follow up with get_skill(slug) to read the full SKILL.md. Free to use — no API key required. Args: query: Natural language d
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | — |
| top_k | integer | no | — |
Fetch a ClawHub skill by slug — metadata plus optional SKILL.md body. Use the slug from search_skills results (e.g. 'agent-browser-clawdbot'). The response includes version, stats, install command, and the SKILL.md content agents can follow to adopt the skill's behavior. Free to use — no API key required. Args: slug: ClawHub skill slug (lowercase, from search_skills)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | — |
| include_content | boolean | no | — |
Executes Python or JavaScript code in an isolated, stateless sandbox to validate, test, or solve tasks. Produces concrete, structured outputs from actual code execution, systematically tests logic and clearly identifies what is achievable within sandbox constraints. Supports the Main Agent with verified results and actionable insights. Expected Runtime: ~45s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Performs expert-level software engineering analysis to solve tasks using repository and code evidence as the primary source. Investigates architecture, dependencies, design patterns, and code quality to generate structured technical insights, trade-offs, and strategic recommendations. Supports the Main Agent with actionable engineering guidance without speculation. Can't execute code. Expected Run
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Analyzes tasks, questions, or problems strictly from a scientific perspective. Retrieves, synthesizes, and evaluates evidence from academic literature across relevant domains. Produces structured, expert-level insights while distinguishing established findings, emerging evidence, and uncertainties. Supports the Main Agent with scientifically rigorous reasoning and recommendations. Expected Runtime
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Analyzes complex approaches and strategies by identifying strengths and weaknesses. Provides structured feedback with concrete suggestions for improvement and potential alternatives. Expected Runtime: ~30s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Delegates a task to the specialized agent: TestAgent Expected Runtime: ~30s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Agent created via direct DB write Expected Runtime: ~30s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Generates structured, iterative execution plans from complex user requests or problems. Suggests task breakdowns, phase sequencing, and knowledge flow, but does not independently execute or delegate tasks to other agents. Supports the Main Agent in preparing actionable plans. Expected Runtime: ~30s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Conducts thorough, iterative internet research on a given topic. Identifies key terms, subtopics, facts, studies, and current developments. Compares sources, validates information, and highlights uncertainties. Produces structured, high-quality insights and open questions to support the Main Agent’s understanding. Expected Runtime: ~60s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Performs goal-oriented web navigation to complete tasks using a browser tool. Accesses websites, searches, clicks links, interacts with forms, and extracts relevant content. Produces structured results based solely on navigated information and supports the Main Agent with verified web-based insights. Expected Runtime: ~30s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
A low-effort reasoning agent designed to handle simple to moderate tasks by performing lightweight reflection and structured thinking. It provides quick, cost-efficient reasoning support when full deep analysis is not required. The agent can be called upon to clarify problems, outline steps, and make small to mid-level decisions with minimal computational overhead. Expected Runtime: ~45s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Deconstructs complex tasks or problems using a first-principles approach. Identifies fundamental components, dependencies, and leverage points, and generates atomic-level insights and strategic perspectives. Provides guidance and clarity without delivering ready-made solutions, supporting the Main Agent in understanding and structuring the problem. Expected Runtime: ~30s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
The medium-effort reasoning agent is designed to handle moderate to complex tasks by applying structured, multi-step thinking and deeper analysis. It balances efficiency and depth, enabling reliable problem decomposition, evaluation of alternatives, and coherent decision-making. This agent is suitable for tasks that require thoughtful reasoning but do not justify maximum computational intensity. E
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
The high-effort reasoning agent is built for complex tasks that require deep, multi-step analysis and robust problem-solving. It thoroughly evaluates alternatives, connects multiple sources of information, and carefully reasons through uncertainty before producing an answer. This agent is suited for challenging planning, architecture design, and analytical tasks where accuracy and depth are critic
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Plan complete camping trips based on destination, weather, experience level, group size, budget, and activities. Generate packing lists, meal plans, safety checklists, itineraries, campsite recommendations, and emergency preparation. Expected Runtime: ~30s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Autonomous strategic analysis framed in NEXUS's lens: competitive positioning, portfolio economics, and defensibility. Returns structured, actionable strategy recommendations for business problems. Expected Runtime: ~20s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
full financial agent Expected Runtime: ~60s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Creates a complete home restaurant experience from the household fridge, guest count, cuisine, time and budget. Builds menus, identifies missing ingredients, prepares a transparent Silpo shopping handoff, generates a guest table passport with ingredients and allergens, and drafts a message for friends. Sponsored products are labelled and only shown when relevant. Expected Runtime: ~15s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Demo agent that echoes back any text query it receives. Useful for testing A2A webhook integrations. Expected Runtime: ~10s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Проводит доказательный аудит сайтов по действующему законодательству РФ: сканирует публичные страницы, формы, cookies, документы, платежные сценарии и внешние сервисы, сверяет применимые требования и возвращает отчет с рисками, источниками и готовым планом исправлений для Codex. Expected Runtime: ~180s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Tracks household food inventory, expiry risks and replenishment needs; considers user food restrictions and preferences; prepares transparent product recommendations, a draft Silpo basket and delivery options. Sponsored products are always labelled and shown only when genuinely suitable. Cart changes require explicit user approval. Expected Runtime: ~15s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
Fundamental Analysis Expected Runtime: ~30s.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| payload | yes | — |
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 Agent Router 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: —
ATool-list grade · score 93 / 100
Release 1.0.0 · scanned 23 Oct 2026
Graded from the tools this server lists, not from its source code.
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.
Threat score100
Client score93
Findings0 threat · 1 capability
Capabilitymoderate
Coveragemanifest
Verificationnot in this report
Surface digestd1cb999b7226a74905aad54a80f7c18eb73a866206f9dba7c3012f3112c7d264
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
Tool surfaceread
Implementation sourcenot available
Package metadatanot available
Live transportnot available
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| a2a_call_agent | no tags | |
| wait_for_task | no tags | |
| discover_agents | untrusted-input | untrusted-input: keyword "browse" |
| search_skills | no tags | |
| get_skill | untrusted-input | untrusted-input: keyword "fetch" |
| sandboxcodingagent | no tags | |
| softwareengineeringexpert | no tags | |
| scientificresearchagent | no tags | |
| constructivecritic | no tags | |
| testagent | no tags | |
| exploitagent | no tags | |
| taskplanner | no tags | |
| researchagent | no tags | |
| browsernavigationagent | no tags | |
| reasoningdelegationlow | no tags | |
| firstprinciplesanalyst | no tags | |
| reasoningdelegationmedium | no tags | |
| reasoningdelegationhigh | no tags | |
| campbuddy | no tags | |
| nexus_strategy_analyst | no tags | |
| financial_agent | no tags | |
| silpo_home_restaurant | no tags | |
| hpo_demo_echo_agent | external-sink | external-sink: keyword "webhook" |
| russian_website_legal_auditor | no tags | |
| smart_fridge___nutrition | no tags | |
| stock_market | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
flow-1
Untrusted input can drive an external action even though no sensitive source is exposed.
Supply chain and provenance
Integrityfirst-seen
Surface digestd1cb999b7226a749
Scanned2026-10-23
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
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 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
—
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 Agent Router 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.