Data & MCP
Agent Index
Agent Index is a census of what AI agents can actually connect to. It normalizes both major connector directories into one corpus and indexes them at tool level rather than connector level, because connector level is too coarse to show where the ecosystem is empty.
Last updated: September 18, 2026
Quick answer
Agent Index covers 7,000+ connectors across ChatGPT and Claude, broken into 68,000+ tool declarations classified by verb, data domain and action class. It surfaces action gaps, capability monopolies and an Agent Readiness Score per category. Pro only.
On this page
What is in the dataset
- 2,800+ MCP servers from the Claude connector directory, with tool lists, auth posture, permissions and declared sensitive data types.
- 4,200+ apps from the ChatGPT directory, with developer, category, version, skills and, where declared, the underlying MCP endpoint.
- 68,000+ individual tool declarations, stripped of vendor prefixes and classified into a verb, an object and an action class.
The public overview is on the Agent Index landing page. The app itself is at /agent-index and requires Pro.
The findings that shape it
- Over 90% of distinct tool names appear on exactly one server. There is no shared vocabulary, so agents cannot route across connectors and every integration stays bespoke.
- Roughly half of all connectors declare no write-capable tool at all. They can read a system but take no action in it.
- The Claude directory grew roughly 10x over 2026, so category saturation moves fast enough that a stale read is misleading.
Read the gaps, not the listings
A directory tells you what exists. The useful question is which data domains have heavy read coverage and no write path, because that is where the remaining product surface is.
Agent Readiness Score
One number from 0 to 100 per category, composited from write-capability coverage, connector density, authentication friction and whether the category is carried on both platforms or only one. It answers whether an agent can operate end to end in a vertical or only observe it.
A low score in a category with demonstrated demand is the most interesting signal in the dataset: the market wants it and the plumbing does not exist yet.
The seven MCP tools
- get_vertical_readiness - the verdict for a business vertical, its four score components, and the stack slot blocking it. Lead with the verdict: the numeric score clusters into bands and is not a continuous scale.
- search_agent_ideas - product ideas scoped to a vertical and its blocking slot. Defaults to survivors of an independent adversarial pass.
- search_connectors - search both directories by platform, category, auth posture and verified tier.
- get_connector - one connector in full, with its tools grouped by verb class.
- get_agent_coverage - per-category coverage: how many connectors, what share can act, what share the vendor built.
- get_vertical_stack - the rows underneath a readiness score: every slot the vertical runs on, in order, with vendor counts, agent-surface counts and the blocking slot flagged. get_vertical_readiness returns slots_covered as a count; this returns the stack.
- search_software_vendors - the G2 and Capterra vendors mapped to each slot, filtered by whether they have an agent surface. has_agent_surface: false is the build list.
can_act null is not can_act false
get_connector returns can_act: null when a connector publishes no capability list. Claude publishes tool lists for 98.6% of its directory, ChatGPT for 12.7% of its apps, so treating a missing list as 'cannot act' measures the page template rather than the connector.
How ideas are generated
- Capability Whitespace: derived from the connector corpus alone, and must cite a cluster plus a specific empty cell in the gap matrix or a hole in cross-platform coverage.
- Validated Agentic Wedge: promoted only when the gap is corroborated by real complaints from two or more independent sources, with every citation stored and traceable.
Candidates are deduplicated by meaning and then run through an adversarial pass that removes anything whose only moat is shipping an MCP server.
Was this page helpful?
Related articles
Data & MCP
What is the BigIdeasDB MCP
The BigIdeasDB MCP is a hosted Model Context Protocol server exposing 37 tools across 12 data sources - a drop-in Reddit API alternative with no PRAW, OAuth, or API keys.
Data & MCP
Data sources overview
The live datasets behind BigIdeasDB - G2, Capterra, Upwork, Reddit, app stores, Product Hunt, VC and accelerator portfolios, and the Stripe directory - with real coverage numbers.
Data & MCP
Stripe Index (live-on-Stripe companies)
Stripe Index maps 30,000+ companies live on Stripe across 80+ categories - supply-side validation showing who is already monetized, filterable by category, model, customer type, and price tier.