Describe the work you need done. Agentery identifies the market, shows current pricing, finds suitable AI agents and MCPs, and compares providers through MCP.
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For AI agents — MCPBundles Directory API
Recommended: Directory API v1 over HTTP for detail and anonymous invoke when eligible (not MCP JSON-RPC on the publisher URL; no user MCPBundles credentials on v1).
GET https://www.mcpbundles.com/api/directory/v1/servers/agentery-mcp-9dd1af11f7
GET https://www.mcpbundles.com/api/directory/v1/servers/agentery-mcp-9dd1af11f7?live=1 (optional live refresh)
GET https://www.mcpbundles.com/api/directory/v1/servers/agentery-mcp-9dd1af11f7/tools/<tool> (one tool: schema + invoke.url)
POST https://www.mcpbundles.com/api/directory/v1/servers/agentery-mcp-9dd1af11f7/tools/{tool}
POST body: flat JSON of tool argument names and values; not an arguments wrapper. Replace {tool} with a tool name from GET detail.
Restricted agent shell (ChatGPT Codex desktop, some IDE sandboxes):
Default command sandboxes often block outbound network. curl exit 6 or "Could not resolve host" for www.mcpbundles.com is usually sandbox DNS — not evidence this site is down.
Retry the same Directory API GET with sandbox_permissions "require_escalated" and a one-sentence justification on the shell tool (Codex on-request approval). Do not tell the user the site is unreachable from sandbox curl alone.
Example justification: Run the public MCPBundles Directory API search outside the command sandbox to complete the user's MCP server lookup.
If the agent has browser access (e.g. Codex @Browser): open https://www.mcpbundles.com/?q=<query> or stay on this page — no shell network needed. Use WebMCP search_mcp_servers then get_mcp_server (document.modelContext / page tools; refresh with fetchTools or getTools if a tool id is missing from the snapshot). Read-only directory search; same index as Directory API v1 GETs. Neither WebMCP nor Directory API v1 uses user MCPBundles credentials.
Without a browser: after escalated curl fails, use GET https://www.mcpbundles.com/?q=<query> with Accept: text/markdown for ranked results.
Hub MCP (connected session): discover_mcp_servers — same filter semantics as search_mcp_servers.
Contract: https://www.mcpbundles.com/agents.md
OpenAPI: https://www.mcpbundles.com/api/directory/v1/openapi.json
Guide: https://www.mcpbundles.com/guides/mcpbundles-directory-api
For MCP client apps (human connect):
MCP connect URL: https://agentery.com/api/mcp
Skill page: https://www.mcpbundles.com/skills/agentery-mcp-9dd1af11f7
Explore capabilities (19)
read 7
write 3
other 9
Get
5
Market
2
Other capabilities
12
Research Capability
other
research_capability
Optional combined research route: ONE call turns a task into: (1) its live MARKET — the semantic neighbourhood of the closest-matching providers, found purely by text-embedding nearness (NO fixed category), with the relevance floor and how many providers cleared it; (2) current pricing context — comparable price range and median with mean, stdev and n, plus provider/priced counts; and (3) a ready-to-compare provider shortlist — each with observed price, market_position (below/in-line/above marke
Description may be truncated on the public preview.
Research Capability — Optional combined research route: ONE call turns a task into: (1) its live MARKET — the semantic neighbourhood of the closest-matching providers, found purely by text-embedding nearness (NO fixed category), with the relevance floor and how many providers cleared it; (2) current pricing context — comparable price range and median with mean, stdev and n, plus provider/priced counts; and (3) a ready-to-compare provider shortlist — each with observed price, market_position (below/in-line/above marke
Search Providers — Find candidates for a described task — example: 'supplier invoice reconciliation'. Check the strongest matches with get_provider_profile before recommending them, then use compare_providers for the shortlist. Results may include different delivery types (provider / MCP server / API / platform) and products without a numeric price: inspect the returned `priced`, `observed_price` and `provider_type` fields before treating a result as a recommendation. Set require_public_price to keep only products
Find Market — Map a natural-language task, capability or service to its live MARKET — the semantic neighbourhood of the closest-matching providers, found by text-embedding nearness (NO fixed category). For buyers ('a provider that monitors competitor pricing'), sellers ('what should I charge for lead-generation automation') or sizing a space. Pricing-intent boilerplate is stripped before matching. Returns the market label, how many providers are in the neighbourhood and how many are priced, `nearest` (the clo
Compare Providers — Step 3 of the buyer path. Side-by-side capability + plan-level prices for 2–6 providers (e.g. the Pro tier). Inputs are resolved to REAL providers — exact handle, then exact display name — and are NEVER silently swapped for a fuzzy match: unknown inputs come back in `unresolved_inputs` with `suggested_matches` and a ready-to-retry `corrected_call`, and if EXACTLY ONE input is real (the other was invented/mistyped) it does NOT dead-end — it returns `comparison_status: compared_with_market_peers`,
Get Price Index — Call this for the CURRENT level of the Agent Economy Price Index (AEPI) — a chained like-for-like index over observed provider/MCP pricing (base 100 = 29 Jun 2026). It is an INDEX LEVEL, not a market price or tradeable asset. Returns the whole-economy headline index level with change_1d/change_7d/change_30d, as_of, like_for_like_pair_count, status and the methodology version, PLUS the same fields for the four buyer tiers (Individual, Pro, Team/SME, Enterprise). `provider_type` returns the standa
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
What is the Agentery — Find and Compare AI Agents by Price MCP server?
Describe the work you need done. Agentery identifies the market, shows current pricing, finds suitable AI agents and MCPs, and compares providers through MCP.
How do I connect Agentery — Find and Compare AI Agents by Price to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
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More in developer tools
Other MCP servers in this category from the directory index
Price Benchmark — Summarise observed prices for products related to a capability, separated by delivery type (provider / mcp) and buyer tier (individual / pro / team_sme / enterprise) and never blended across incompatible pricing units. Supply the capability with `query` (natural language, e.g. 'AI code review'); `task` and the legacy `niche` are accepted aliases. The market is the semantic neighbourhood of the query (nearest providers by text embedding, no fixed category). Each cohort reports median, mean, stdev
Get Price Index History — Call this for the canonical DATED index SERIES (to chart or analyse movement) of the AEPI — the same chained like-for-like series the /aepi page plots. Every point is an index level (base 100), never a price. Returns the whole-economy headline series, or a single buyer tier's series when `tier` is set. `provider_type` returns the standalone 'agent' / 'mcp' series (own base 100). `period` selects '30d' (default), '90d' or 'all'. response_mode 'summary' (default) returns date + index_level points
Market Gaps — Inspect query clusters with weak coverage among indexed paid providers — research leads, not buyer counts: request counts are not buyer counts, and a gap in this index does not establish a gap in the wider market. Computed demand-first in the raw text-embedding space (NO fixed categories). A gap = a cluster of user requests seen on this MCP server that sits FAR from any PAID provider. For each gap it returns: the demand phrasing, demand_mass (how many similar requests cluster with it), nearest_p
Suggest Alternatives — Find related alternatives to a known provider, ranked by text-embedding nearness to that provider's OWN profile (NO category lookup), each with observed price, endpoint liveness, community upvotes and how_to_connect (website, docs, mcp endpoint). For cheaper_only, inspect whether the reference price and candidate prices support a valid comparison: an empty response may reflect a missing or incompatible reference price rather than the absence of alternatives (the response says which). Accepts `ag
Demand Signals — Inspect eligible zero-result or weak-match capability queries observed on this MCP server, aggregated and ranked by miss count. These are limited coverage signals from Agentery's own callers — not proof that a product does not exist, and not proof that a market has paying demand. Not a prerequisite for choosing a product. Empty args ({}) return the current list; an empty response means there is insufficient qualifying evidence (status insufficient_evidence + next_step) — it is never filled from
Report Outcome — Report the result of ACTUALLY USING a listed provider for a task. Testing Agentery's connection or retrieval does not establish that the listed provider worked — do not report those. Reports are self-reported evidence subject to eligibility checks: they are correlated with your recent retrievals, improve ranking accuracy, and unlock higher rate limits for contributors. Only reports we can match to one of YOUR retrievals (search_providers / get_provider_profile / compare_providers / suggest_alter
Rank Providers For Workflow — PARTNER-ONLY (Bearer key required). Given a business context and its workflow steps, return ranked provider candidates for EACH step — structured, scored (match_score 0-100) matches with match_reasons and cautions. Built for app builders (e.g. Builtery) assembling automations. Reads each provider's analysed site profile; never invents capabilities; returns 'unclear' where evidence is missing.
Get Provider Profile — Step 2 of the buyer path. Full profile for ONE provider — plans, pricing model, liveness, evidence — use after search_providers returns handles. Evidence-scored profile: task_performed, inputs/outputs, integrations, protocols, industry_fit, autonomy_level, human_approval_needed, observed price, trust signals, evidence_quality, entity_type, regulated_data_suitability, evidence_urls, last_checked. Includes the full how_to_connect object — website, docs, any vendor-published MCP endpoint (with a co
Get Provider — Call this for the public directory card of one provider by handle or registration number: bio, source URLs, X-verification status, entity type, community rating and structured profile when available.
Market Report — Deep-dive ONE market before building or investing — the market is the semantic neighbourhood of your natural-language query (nearest providers by text embedding, NO fixed category). Every field is MEASURED: the observed-pricing benchmark separated by provider type and buyer tier (median, mean, stdev, p25/p75, min–max range and n via the canonical pricing engine), how many providers are in the neighbourhood and how many are priced, and the top providers already competing there with their observed
Create Custom Benchmark — Create a PRIVATE custom benchmark (a saved, calculated peer cohort) over Agentery's data — no account needed. Two modes: (A) explicit members: pass `members` (a list of exact handles; product names/domains resolve where unambiguous). (B) fork a market: pass `base_niche` (its slug) plus optional `remove`/`add`. Returns a one-time secret `benchmark_id` (cb_… token) — store it; it's your only key. Use it later in get/update/delete and in market_report/get_price_index/get_price_index_history. Ambigu
Get Custom Benchmark — Get a private custom benchmark's current report: members, current stats (headline median/quartiles only when ≥3 comparable priced members — monthly, per-seat and per-call prices are never blended), buyer-tier / provider-type / pricing-unit cohorts, historical index, and data coverage. Pass `benchmark_id` (your cb_ token) as an ARGUMENT.
Update Custom Benchmark — Add/remove members or rename a custom benchmark. Creates a NEW immutable version (the previous version stays fully reproducible) and returns the exact change-impact on the median/quartiles/index. Pass `benchmark_id`.
Delete Custom Benchmark — Disable access to a custom benchmark. Keeps only a minimal audit record; no underlying Agentery data is touched. Pass `benchmark_id`.
How many tools does Agentery — Find and Compare AI Agents by Price provide?
MCPBundles probed 19 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does Agentery — Find and Compare AI Agents by Price require?
No provider sign-in was required during MCPBundles' probe. Your client may still need MCPBundles credentials depending on how you connect.
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