--- title: "Ora's MCP server: the 18 tools | Agent MCP Directory" description: "Ora's MCP server at ora.ai/api/mcp: 18 tools with their descriptions, how to connect, the read-only docs server and where it is not listed." canonical: https://agentmcpdirectory.com/ora-mcp-server site: "Agent MCP Directory" last_updated: 2026-11-05 section: "Testing" --- # Ora's MCP server: the 18 tools | Agent MCP Directory > Ora's MCP server at ora.ai/api/mcp: 18 tools with their descriptions, how to connect, the read-only docs server and where it is not listed. Source: https://agentmcpdirectory.com/ora-mcp-server Site: Agent MCP Directory Last reviewed: 2026-11-05 # Ora's MCP server: the 18 tools Ora runs an open MCP server at https://ora.ai/api/mcp with 18 tools and 7 resources, and the connector listed them with no credentials on 4 November 2026. Its server card declares the kind product. A second read-only server serves Ora's documentation. | Endpoint | https://ora.ai/api/mcp | | --- | --- | | Transport | streamable-http, protocol 2025-11-25 on the day the connector ran | | Server | ora 1.38.0 | | Authentication | none (the connector listed tools with no credentials) | | Tools, resources, prompts | 18, 7, 0 | | Connected | 4 November 2026, read-only methods only | | Kind in its server card | product (version 1.38.0; protocol versions 2025-11-25 and 2025-06-18) | | Cached Ora score | 95, grade A+, read 5 November 2026; the leaderboard read on 4 November 2026 showed 84, grade B | ## Connect to it Ora documents two ways to add the server, one for a coding agent and one for a client configured by hand. Both are Ora's own instructions, read on 5 November 2026. ```bash claude mcp add --transport http ora https://ora.ai/api/mcp ``` ```json { "mcpServers": { "ora": { "type": "streamable-http", "url": "https://www.ora.ai/api/mcp" } } } ``` ## The 18 tools The descriptions are the ones Ora's own manifest at `ora.ai/.well-known/mcp.json` gives an agent. The last column is this directory's reading of what each tool does on Ora's side; the connector never called any of them. | Tool | Description in the manifest | Required | What it does | | --- | --- | --- | --- | | scan_domain | Scan a domain for agent-readiness. Returns score, grade, and layer breakdown | url | Runs a scan | | get_score | Get the cached agent-readiness score for a domain | domain | Reads | | get_leaderboard | Get the ora leaderboard ranked by agent-readiness score | none | Reads | | discover_products | Find the most agent-ready products for a given need | intent | Reads | | search_capabilities | Find pay-per-call API endpoints payable with x402/MPP stablecoin payments - no API key or signup | query | Reads | | get_verification_challenge | Get a verification challenge to prove you are an AI agent before submitting feedback. Solve it and pass the answer to submit_feedback or submit_check_feedback | none | Reads a challenge | | submit_feedback | Submit agent feedback for a product. Agent-only - only available via MCP | domain, agent_id, task_description, outcome, content, recommendation | Writes feedback, verification needed | | send_feedback | Tell the ora team how ora's MCP and scanner worked for you: a bug, a wrong result, a confusing tool, a tool you needed but did not find, or something that worked well | summary, category, verification_token, verification_answer | Writes feedback, verification needed | | submit_check_feedback | Report an issue with a specific check result for a domain (false pass, false fail, wrong details, or outdated). Requires HATCHA verification | verification_token, verification_answer, domain, check_id, reason, message, agent_id | Writes feedback, verification needed | | get_feedback | Get agent feedback for a product. See what other agents experienced | domain | Reads | | list_skills | List the skills ora publishes for coding agents (e.g. agent-ready-website). Each skill is a self-contained instruction document; fetch one with get_skill and follow it | none | Reads | | get_skill | Fetch an ora skill by name and follow it step by step. Skills are served dynamically and updated as agent standards evolve; fetch a fresh copy at the start of each task | name | Reads | | list_checks | List the full catalog of checks behind ora's agent-readiness score: every check id with its layer, max score, applicability, tier, and maturity. Takes no inputs | none | Reads | | run_checks | Run a selected subset of checks against a URL and get per-check results back - the re-verify step after shipping a fix, with check ids from list_checks | url, checkIds | Runs checks | | ask | Search ora's published website content using NLWeb query, context, prefer, and meta. Returns relevant passages with source URLs and evidence provenance | query | Reads | | run_journey | Send a real AI agent at a site on a task and get ora's verdict, step count and insight. Pick a curated intent (no key needed) | domain | Runs an agent journey | | get_journey_run | Follow a journey started by run_journey until it finishes: waits up to 50s, then returns the verdict, step count and insight | run_id | Reads a journey | | generate_agent_files | Draft the discovery files agents look for on a site - /.well-known/ard.json, /.well-known/ai-catalog.json and /.well-known/poppy.json, plus on request llms.txt | domain | Reads | The manifest carries no annotations for any of the 18 tools, so a client cannot read from it which tools write. Ora's own check for `readOnlyHint` and `destructiveHint` is [one of the MCP checks](https://agentmcpdirectory.com/mcp-checks/). ## The docs server Ora runs a second, read-only server at `https://ora.ai/api/docs/mcp`. Its server card declares the kind docs, version 1.38.0 and the same two protocol versions. It has three tools. | Tool | What Ora says it does | Parameters | | --- | --- | --- | | search_docs | Search guides, MCP tools, REST endpoints, and schemas; returns matching sections with links | query (required), limit (optional, default 8, max 20) | | get_docs_page | Read one docs page as markdown | page (required, a docs page path such as /docs/partners) | | get_endpoint | One REST endpoint's OpenAPI operation with every schema it references | endpoint (required, "METHOD /path") | ## Where it is not listed The official MCP Registry returned no server for a search on Ora's publisher name or on ora.ai on 5 November 2026, so the server is reachable by URL and from Ora's own manifest but is not in that registry under its own name. [Why the registry matters](https://agentmcpdirectory.com/guides/get-listed-in-registries/). How Ora scores other servers is on [the pick page](https://agentmcpdirectory.com/test-your-mcp-server/) and in [the list of MCP checks](https://agentmcpdirectory.com/mcp-checks/). ## Testing your own MCP server [Why Ora is the pick for testing an MCP server, where it falls short and what else exists](https://agentmcpdirectory.com/test-your-mcp-server/). Edition 4 November 2026 Method [How rows are verified](https://agentmcpdirectory.com/method/) Data [CSV and JSON](https://agentmcpdirectory.com/data/) Markdown [This page as markdown](https://agentmcpdirectory.com/ora-mcp-server/index.md) ## Sources - [Ora MCP manifest](https://ora.ai/.well-known/mcp.json?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=profile), read 5 November 2026 - [Ora main MCP server card](https://ora.ai/api/mcp/server-card?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=profile), read 5 November 2026 - [Ora docs MCP server card](https://ora.ai/api/docs/mcp/server-card?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=profile), read 5 November 2026 - [Ora API reference (llms-full.txt)](https://ora.ai/llms-full.txt?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=profile), read 5 November 2026 - [Ora MCP page](https://ora.ai/mcp?utm_source=agentmcpdirectory.com&utm_medium=referral&utm_campaign=profile), read 5 November 2026 - [Official MCP Registry search for Ora's publisher name](https://registry.modelcontextprotocol.io/v0/servers?search=eralabs), read 5 November 2026 Last reviewed 5 November 2026