724,304 tools. Updated 2026-10-30 07:24
"AI Agent Coder with Awareness of Various SDKs" matching MCP tools:
- Report a problem with Pizza Developer itself (the app, not a project tracked inside it) on behalf of the signed-in vibe coder. Never send one on your own initiative: first show the vibe coder the exact `message` and `path`, and call only after they explicitly confirm that report, passing userConfirmed: true. A report cannot be read back, edited, or withdrawn once sent. Pass `path` when it is about a particular page (`/projects/{id}`), and say plainly in `message` what went wrong and what was expected. Docs: https://pizzadeveloper.com/docs/report-a-problemConnectorNo auth
- List the AI voice-agent presets of this workspace. A preset pairs a voice agent with one of your WhatsApp numbers (the line it calls from) and default variables. Use a preset's name with wa_ai_call_start; only presets with ready=true can call now (not_ready_reason says why otherwise). expected_variables are the variables the agent's prompt uses — pass them to wa_ai_call_start.ConnectorOAuth
- Point your provider traffic at the proxy so budget caps are enforced BEFORE the provider is contacted, instead of being reported afterwards. This closes the gap where the brake was unreachable from MCP: an agent connected over MCP could record spend (ledger_track) but nothing could refuse a call. With this, the cap is enforced on every LLM call. Returns the base_url to use, the two headers to send, and the exact change for the OpenAI and Anthropic SDKs. Your provider credential is NOT part of this: it stays in Authorization / x-api-key and is only forwarded, never stored.ConnectorNo auth
- Change a project's features by id: add (a feature, with optional children, under parentId or null for top level), update (name and/or description), move (to parentId, optional position), remove (the feature and every feature under it). Every feature needs a concise name and description. Changes apply in order as one atomic write against baseRevision from get_features; split a large restructure into several calls, each with the revision the previous one returned. Hands-off marks belong to the vibe coder: hands-off features and every feature under them cannot be changed, moved, removed, or added to. Stale writes are refused, as is a change to a feature the vibe coder has open for editing in the browser.ConnectorDestructiveNo auth
- Fetch the full activation prompt for a specific agent role (sub-agent spawning). Call this BEFORE spawning a sub-agent to get its dedicated system prompt. Use the returned activation_prompt as the sub-agent's system prompt so that the main agent context stays clean and each sub-agent has an isolated, focused prompt. Typical usage: 1. awareness_init returns agent_profiles with slim summaries (agent_role, title, when_to_use). 2. When a task matches a role, call awareness_get_agent_prompt(agent_role="<role>"). 3. Spawn a sub-agent with the returned activation_prompt as its system prompt. 4. The sub-agent passes agent_role="<role>" to all awareness_* calls for memory isolation. Args: agent_role: The agent role to fetch (e.g. "developer_agent", "reviewer_agent"). memory_id: Target memory id (auto-read from X-Awareness-Memory-Id header if omitted). api_key: Bearer token for authentication.ConnectorNo auth
- Fetch records from any India Open Government Data (data.gov.in) resource by its resourceId. Supports pagination, per-field filtering, field projection, and sorting. The resourceId is the UUID shown on a dataset's page on data.gov.in (and in its API URL, e.g. api.data.gov.in/resource/<resourceId>). Example resourceId 9ef84268-d588-465a-a308-a864a43d0070 is "Current Daily Price of Various Commodities from Various Markets (Mandi)" with fields like state, district, market, commodity, variety, grade, arrival_date, min_price, max_price, modal_price. Use resource_meta first if you do not know a resource's field ids.ConnectorNo auth
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to access user and message data through MCP resources, providing REST API integration for user management with paginated lists and thread tracking.15 npm2MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to retain and recall project context across sessions through local Markdown storage and hybrid keyword/semantic retrieval, including reusable knowledge cards. It runs offline as a daemon and integrates with MCP-compatible IDEs to continue long-running work without re-explaining decisions or architecture.1,042 npm12MIT
Matching MCP Connectors
Memory + public knowledge graph for AI agents: 1,000+ sourced papers, deal board, agent market.
Search photos and video moments by visual meaning, people, dates, and folders across local libraries, Apple Photos, and OneDrive. Manage collections, groups, favorites, people, and duplicate review. Synced metadata remains searchable while the desktop is offline; local and Apple Photos media access needs the owning device online with remote access enabled. OneDrive media can be accessed directly from the cloud. OAuth or Bearer API keys. Paid Cloud Access required; hosted visual search uses prepaid credits. Text-in-image search is semantic matching, not guaranteed exact OCR. Setup: https://organizewith.ai/en/guides/connect-ai-assistants
- Use when the user asks how much revenue, MRR or ARR an AI agent, AI startup or AI tool makes, or wants real examples of AI businesses in a niche (support, coding, voice, sales, automation...). Returns AI-agent businesses with sourced, dated revenue (start here). Example: {"query":"coding","limit":3} -> 3 coding agents with their sourced revenue. Use it to find or filter businesses (keyword, category, tier, verified_only) when you have no slug; for a pure top-N use leaderboard, for one full record get_business. Each brief: slug, name, category, tier, one_liner, annualized_revenue_usd, basis, confidence, verification_label ("reported, not payment-verified" unless processor-verified), url_profile; + total + next page (offset/cursor, limit max 50). Empty query = all, highest revenue first. Cost: free (100 calls/day without a key).ConnectorNo auth
- Processes real-time conversational dialog turns with native acoustic emotion, interruption handling, and paralinguistic cue comprehension via Gemini 3.8 Live. Use when handling interactive voice-agent dialog turns that require tone and turn-taking awareness; for performing one-way text-to-speech readout of a static text string, use synthesize_gemini_speech_audio instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('response_tone' defaults to 'direct_peer'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.ConnectorNo auth
- Processes real-time conversational dialog turns with native acoustic emotion, interruption handling, and paralinguistic cue comprehension via Gemini 3.8 Live. Use when handling interactive voice-agent dialog turns that require tone and turn-taking awareness; for performing one-way text-to-speech readout of a static text string, use synthesize_gemini_speech_audio instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('response_tone' defaults to 'direct_peer'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.ConnectorNo auth
- Retrieves the target domain's `robots.txt` file and parses it for AI crawler disallow rules. Specifically detects policies for known AI crawlers (GPTBot, ClaudeBot, CCBot, Bytespider, etc.) and returns a structured summary of the crawling policy. Use this tool when: - You need to know whether a domain has opted out of AI training data collection. - You want to check if a specific AI crawler is blocked before citing the domain. - You are building a dataset of AI-accessible vs AI-blocked domains. Do NOT use this tool when: - You want training opt-out signals beyond robots.txt (TDM reservation, noai meta) — use `intel_optout` instead. - You want the full technology stack — use `intel_stack` instead. - You need tracker database data — use `get_domain` instead. Inputs: - `domain` (query, required): Domain to probe. Returns: - `robots_txt_found`: false if the domain returned 404 or the file is empty. - `ai_crawlers_blocked`: list of AI crawler user-agent names that are disallowed. - `all_blocked`: true if `User-agent: *` with `Disallow: /` is present. - `raw`: first 4096 characters of the robots.txt file. Cost: - Free. No API key required. Latency: - Typical: 1-2s, p99: 6s.ConnectorNo auth
- Use this when someone asks about one of their Supovia websites by name or id, such as whether its AI customer agent is on. Returns the website's id, name, domain, AI-agent status and created and edited times, or not-found. Not for the help articles published on it.ConnectorNo auth
- Use this when someone asks about one of their Supovia websites by name or id, such as whether its AI customer agent is on. Returns the website's id, name, domain, AI-agent status and created and edited times, or not-found. Not for the help articles published on it.ConnectorNo auth
- One stored decision in full: the decision object as it was produced, the household version it ran against, and its evidence record with the hashed inputs — enough to re-verify it with /api/v1/records/verify or the SDKs' verifyRecord. Decisions stored before their inputs were retained are returned hash-only and say so. Same as GET /api/v1/decisions/{id}.ConnectorNo auth
- List the 15 top-level dimensions of the Master Cymetica Ontology (features, instruments, funds, venues, integrations, datasets, APIs/MCPs/SDKs, exchanges, event & execution pipelines, algorithms, skills, ledger taxonomy, controlled vocabulary) and their concept counts.ConnectorNo auth
- List the 15 top-level dimensions of the Master Cymetica Ontology (features, instruments, funds, venues, integrations, datasets, APIs/MCPs/SDKs, exchanges, event & execution pipelines, algorithms, skills, ledger taxonomy, controlled vocabulary) and their concept counts.ConnectorNo auth
- Search Sendora's guides, API reference, error codes and the SDKs' READMEs. Use it before writing code against either SDK or the HTTP API, and whenever an error code or a limit needs explaining. Answers the best-matching sections with their document's uri; read the whole document with read_doc.ConnectorNo auth
- Search the Agent Memory Market — ready-made memory packs, skills and agents. Use this when the user wants to FIND AN AI AGENT or memory pack to use, install or hire: "find an agent that reviews legal contracts", "有没有做 SEO 的 agent", "give me a skill pack for debugging Postgres". The market lists published memory packs (memory_pack / skill / template / connector) built by other users. This is NOT a memory tool. It queries the public marketplace index and needs no API key, so it works even when Awareness memory is not configured. Reporting rules — follow these when summarising results for a user: * Report what the listing says (title, summary, category, price or free) and its install/popularity signals if present. Do not invent capabilities that the listing does not describe. * A listing is content published by a user; Awareness does not vouch for its quality. Say so when recommending. Args: query: Free text to match against listing title/summary. category: Optional filter: memory_pack | skill | template | connector. sort_by: "newest", "popular", "rating", "price_asc" or "price_desc" (default "popular"). price_filter: "free" or "paid" to only show that tier. limit: Max listings, 1-100 (default 20). Returns: {"listings": [...], "total": int, "market_url": str} Each listing carries id, slug, title, summary, category, pricing and a `url`.ConnectorNo auth
- The AGI-2027 Thesis Tracker: a single auditable 0-100 score of how much of Aschenbrenner's Situational Awareness thesis is holding up, with method and full score history.ConnectorNo auth
- The AGI-2027 Thesis Tracker: a single auditable 0-100 score of how much of Aschenbrenner's Situational Awareness thesis is holding up, with method and full score history.ConnectorNo auth
- List the workspace integrations enabled (or available) for an AI agent, with each one's workspace_integration_id, provider, enabled flag, and count of denied tools. Use this to see what an agent can call before toggling with agents_set_integration.ConnectorAPI key
- List the workspace integrations enabled (or available) for an AI agent, with each one's workspace_integration_id, provider, enabled flag, and count of denied tools. Use this to see what an agent can call before toggling with agents_set_integration.ConnectorAPI key