Agentic.ai Directory
REMOTE · AGENTIC.AI
Independent directory of agentic AI tools — search, compare & recommend via MCP. Read-only.
Available components
Last scanned (4 hours ago)
Scores higher than 84% of remote servers
Reachable. Last reached 5 Nov 2026.
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 10 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability79
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1171 tokens (~117/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 26 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Aug 26 0
- Stability: 0.97 → pass security
- 11 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://agentic.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=agentic.ai | CN=WE1,O=Google Trust Services,C=US | 28 Sept 2026 | 27 Dec 2026 | ECDSA 256 | ECDSA-SHA256 | a0345d4f33c8159613a00dfcb4b5478f |
| SANs: agentic.ai | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of agentic.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 1814, 3799 | 8, 8 | Verified |
| agentic.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000; includeSubDomains |
| content-security-policy | default-src 'self'; script-src 'self' 'unsafe-inline' https://cdn.amplitude.com https://js.stripe.com https://*.clarity.ms https://*.sentry.io https://*.posthog.com; style-src 'self' 'unsafe-inline'; img-src 'self' data: blob: https:; font-src 'self' data:; connect-src 'self' https://*.amplitude.com https://*.stripe.com https://*.supabase.co https://*.sentry.io https://api.cohere.ai https://*.clarity.ms https://*.posthog.com; frame-src https://js.stripe.com https://www.youtube-nocookie.com https://player.vimeo.com; object-src 'none'; frame-ancestors 'none'; base-uri 'self'; form-action 'self' |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | origin-when-cross-origin |
| permissions-policy | geolocation=(), microphone=(), camera=(), payment=(self) |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://agentic.ai/mcp | Verified | 200 | |
| http (plaintext) | http://agentic.ai/mcp | HTTPS enforced | 301 | https://agentic.ai/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
compare_listings ~98
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.
| Name | Type | Req | Description |
|---|---|---|---|
| slug1 | string | yes | First tool's slug (e.g. 'cursor') |
| slug2 | string | yes | Second tool's slug (e.g. 'claude-code') |
No output schema declared.
No examples provided.
get_agenticness_details ~114
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 comparing scores, use compare_listings.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | The listing slug |
No output schema declared.
No examples provided.
get_category ~79
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.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | The category slug (e.g. 'coding-agents', 'general-purpose-agents') |
No output schema declared.
No examples provided.
get_listing ~107
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'.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | The listing slug (e.g. 'cursor', 'claude-code', 'openclaw') |
No output schema declared.
No examples provided.
list_categories ~60
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_recent ~60
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.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | Number of listings to return |
No output schema declared.
No examples provided.
list_tags ~65
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
recommend_tools ~163
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 budget" - "open source alternative to Cursor for VS Code" - "autonomous customer support agent with MCP support" - "self-hosted data analysis tool for enterprise"
| Name | Type | Req | Description |
|---|---|---|---|
| constraints | object | – | Optional structured constraints to narrow results |
| question | string | yes | Natural language description of what you need. Be specific about your use case, team size, budget, deployment preferences, etc. |
No output schema declared.
No examples provided.
search_listings ~232
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.
| Name | Type | Req | Description |
|---|---|---|---|
| autonomyLevel | string | – | Filter by autonomy level |
| category | string | – | Filter by category slug (e.g. 'coding-agents', 'general-purpose-agents') |
| cohort | string | – | Filter by cohort: PEOPLE (individual tools) or TEAMS (team/enterprise tools) |
| deploymentModel | string | – | Filter by deployment model |
| limit | number | – | Max results to return |
| mcpSupport | boolean | – | Filter to tools with MCP (Model Context Protocol) support |
| minScore | number | – | Minimum agenticness score (default 1 to exclude unscored/junk entries, set to 0 to include all) |
| openSource | boolean | – | Filter to open-source tools only |
| query | string | yes | Search query (e.g. 'code review', 'open source coding agent') |
No output schema declared.
No examples provided.
semantic_search ~193
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.
| Name | Type | Req | Description |
|---|---|---|---|
| autonomyLevel | string | – | Filter by autonomy level |
| category | string | – | Filter by category slug |
| cohort | string | – | Filter by cohort |
| deploymentModel | string | – | Filter by deployment model |
| limit | number | – | Max results to return |
| mcpSupport | boolean | – | Filter by MCP (Model Context Protocol) support |
| minScore | number | – | Minimum agenticness score (0-36) |
| openSource | boolean | – | Filter by open source status (true/false) |
| query | string | yes | Natural language search query |
No output schema declared.
No examples provided.
How do I install the Agentic.ai Directory MCP server?
Agentic.ai Directory is a hosted endpoint at https://agentic.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · agentic.ai
claude mcp add --transport http u00dxk2-agentic-directory 'https://agentic.ai/mcp'
What is the Agentic.ai Directory MCP server?
Agentic.ai Directory is an MCP server listed in the public MCP registry as io.github.u00dxk2/agentic-directory. Independent directory of agentic AI tools, search, compare & recommend via MCP. Read-only. This page covers its hosted endpoint (https://agentic.ai/mcp).
Is the Agentic.ai Directory MCP server safe to use?
Agentic.ai Directory scores 81 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Agentic.ai Directory MCP server expose?
Agentic.ai Directory exposes 10 tools: search_listings, semantic_search, get_listing, compare_listings, get_agenticness_details, and 5 more. Their descriptions and schemas cost roughly 1,171 tokens of context every time the server is loaded.
Does the Agentic.ai Directory MCP server require authentication?
No. We connected to Agentic.ai Directory without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Agentic.ai Directory MCP server still maintained?
Agentic.ai Directory is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.