MCP server

Agent Economy Data

io.bitbucket.markedet/agent-economy-data

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

MCP server counts from the official registry, new servers per day, and MCP/A2A spec changes. As is.

At a glance

Type

MCP server

Publisher

bitbucket.io (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 1,002 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http agent-economy-data https://agent-economy-data.onrender.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.agent-economy-data]
url = "https://agent-economy-data.onrender.com/mcp"

Gemini CLI

{"mcpServers":{"agent-economy-data":{"httpUrl":"https://agent-economy-data.onrender.com/mcp"}}}

Cursor

{"mcpServers":{"agent-economy-data":{"url":"https://agent-economy-data.onrender.com/mcp"}}}

VS Code

{"servers":{"agent-economy-data":{"type":"http","url":"https://agent-economy-data.onrender.com/mcp"}}}

Antigravity

agy mcp add agent-economy-data https://agent-economy-data.onrender.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agent-economy-data","server_url":"https://agent-economy-data.onrender.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agent-economy-data","server_url":"https://agent-economy-data.onrender.com/mcp"}

Tools

• daily_new_counts ~133 tokens
  A ready-to-chart series of new MCP servers per UTC day for the last N days (1 to 365, default 30). Good for 'Show daily new MCP servers over the last two weeks'. Example: daily_new_counts(days=14) -> {series: [{date, new_servers}, ...]}. The last day can be partial, see snapshot_at.
• ecosystem_overview ~176 tokens
  Start here: the size and recent growth of the MCP server ecosystem in one call. Returns the total number of servers in the Official MCP Registry, new servers in the last 7 and 30 days, the 3 latest MCP and A2A spec changes with source links, and the snapshot date. Good for 'How big is the MCP ecosys
• namespace_types ~134 tokens
  Who publishes MCP servers and how: the split between code host namespaces (io.github, io.gitlab, io.bitbucket) and publishers' own domains, by servers and by distinct namespaces. Good for 'What share of MCP servers use their own domain?'. Example: namespace_types() -> {servers_by_namespace_type, dis
• new_servers_count_since ~136 tokens
  Growth since any date: how many MCP servers were first published on or after it, split by namespace type. Good for 'How many new MCP servers since October?'. Example: new_servers_count_since(date="2026-10-01") -> {since, count, by_namespace_type}. Date format YYYY-MM-DD.
• registry_totals ~150 tokens
  A headline number for a post, slide or dashboard: how many MCP servers the Official MCP Registry lists, split by status (active, deprecated), remote transport (streamable-http, sse) and package type (npm, pypi, ...). Good for 'How many MCP servers are there, and how many run remotely?'. Example: reg
• snapshot_info ~114 tokens
  What to cite: the snapshot date and source behind the other tools, and which fields are kept or dropped. Good for 'Which day do these numbers describe and where do they come from?'. Example: snapshot_info() -> {snapshot_at, source, fields_kept, fields_dropped}. No arguments.
• spec_changes_since ~159 tokens
  What changed in the MCP and A2A specifications since a date, each as a short summary in our own words with a link to the release notes. A short curated list, not a full changelog. Good for 'What changed in the MCP spec this year?'. Example: spec_changes_since(date="2026-01-01") -> {count, changes: [

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