Документы и заметки

agent-offset-clearinghouse

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Verified-credit carbon offset clearinghouse — list, purchase, and retire conservation credits with proof of retirement; only credits with verification…

• List Credit: List a conservation credit on the book. verification_ref (a D-Score / land-verification attestation) is REQUIRED — unverified credits cannot enter the book.
• Buy Offset: Retire mass_g of verified credits for a buyer: cheapest-first matching, exactly-once (idempotent on purchase_id), returns a content-addressed offset certificate with per-fill costs. Paymen
• Net Position: Buyer's carbon position: emitted (from agent-compute-ledger) minus retired. carbon_accountable == true when fully offset.

agent-provenance

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Genesis certificates, agent lineage tracking, and cascading recalls across derived agents — who made you, who made your maker, and containment of a whole line…

• Register Genesis: Register an agent's birth. Issues a content-addressed genesis certificate with a strictly monotone index (epoch 0 = the founding cohort). parent_id records lineage; children of recal
• Get Certificate: Fetch an agent's genesis certificate + recall/quarantine status.
• Verify Certificate: Verify a certificate: recompute its content hash and check the ledger.

Buy timestamped web, company, commerce, social, document and decision data via x402.

agent-seo

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Score any AI agent before you use it.

• Score Agent: Before integrating an AI agent, check if it's trustworthy. Before releasing your own agent, check if it's discoverable. Scores any MCP server or AI agent URL on 5 dimensions: Schema Quali
• Compare Agents: Choosing between two AI agents for a task? Scores both and shows which is stronger in each category — schema quality, reliability, docs, ecosystem, maintenance. Helps pick the more tru
• Get Fix Recommendations: Building an AI agent? Get a prioritized list of improvements to make it more discoverable and trustworthy. Shows current score, what to fix, expected point gains per fix, code

x402 pay-per-call tools: company enrichment, PDF extraction, Amazon/KDP data, YouTube transcripts.

agent-web — URL to LLM-ready markdown: a polite, robots-respecting web page reader (free)

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URL to clean markdown for LLMs: a polite, robots.txt-respecting web reader.

agent-wiki

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Hosted markdown project wikis your team's AI assistants read, search, and update over MCP.

Search, URL-to-markdown, change detection, live data, x402 trust tools.

One memory, every AI.

AgentBureau - The Notary for the agentic age

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AgentBureau: The Notary for the agentic age Website: https://agentbureau.de/ Github: https://github.com/JustinGuese/AgentBureau-402-embodiment-as-a-service…

• Create Invoice: Generate a GoBD-compliant German invoice with automated VAT calculation. Costs 5 USDC. Generate a GoBD-compliant German invoice with automated VAT calculation. Costs 5 USDC. ### Respon
• Send Letter: Send a physical letter in Germany via Deutsche Post / Pingen (legally valid per BGB §126). Costs 3 USDC. Send a physical letter in Germany via Deutsche Post / Pingen (legally valid per BG
• Send Fax: Send a programmatic fax to a German number with a legally valid transmission report. Costs 1 USDC. Send a programmatic fax to a German number with a legally valid transmission report. Costs

AgentCouch

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Messaging rooms for AI agents: hand off context across tools, worktrees, machines, and teammates.

• Ping: Smoke tool. Returns 'pong'.
• Whoami: Return your AgentCouch identity (user id, email, display name), the agent connection you're using, the workspaces you belong to, and any `pending_invites` awaiting your acceptance. Call this f
• Invite To Workspace: Invite someone to a workspace by email — the single way to bring a person in. Admin/owner only. AgentCouch emails them how to join; works whether or not they already use AgentCouc

agentdocs-mcp

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AgentDocs (agentdocs.eu) MCP: read, search, write, comment, share & attach images to Markdown docs.

Agentic Endpoints

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Pay-per-call HTTP and MCP utilities for autonomous AI agents, settled in USDC on Base via the x402 protocol.

• Meetings Search: Ask a question across every meeting you have imported as queryable, and get back ranked excerpts with the meeting they came from. This is the tool to use when the user refers to somet
• X402 Verify: Call this BEFORE authorising payment to any x402 endpoint you did not write yourself. It fetches the endpoint's live payment challenge and compares it against every observation previously
• Meetings Summarize: Ask a plain-language question and get a written answer grounded in the user's own meeting transcripts, with the meeting id cited after each claim. Prefer this over meetings_search

agentic-swarm-marketplace

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Agentic Swarm Marketplace is a hierarchical multi-agent stack for machine-paid commerce (not trading).

• T54 List Operations: Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.
• T54 X402 Request: Execute any T54 seller operation by operationId with an optional query map. Prefer per-operation t54_* tools when available for clearer arguments. On HTTP 402, x402_broker_client pay
• T54 Agent Commerce Data: Verifiable swarm proof + x402 commerce bundle (premium) HTTP GET `/x402/v1/agent-commerce-data` (`operationId` `agentCommerceData`). Paid routes may return HTTP 402 until the

agentic-ux

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Agentic UX MCP Agentic UX MCP gives coding agents a machine-readable reference for designing interfaces where AI delegates work and users stay in control.

• List Agentic Patterns: List all available Agentic UX design pattern slugs. Prefer resources/list for MCP-native discovery.
• Get Pattern Specification: Retrieve the full Agentic UX pattern specification for a given slug. Prefer resource agentic-ux://patterns/{slug}.
• Get Full Pattern Library: Retrieve the complete Agentic UX pattern library as a single document. Prefer resource agentic-ux://library/full.

agenticbi

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AgenticBI is an agentic analytics platform that turns business questions into answers.Connect BigQuery, Salesforce, SAP, Google Drive, Trino, and more.

• Do: Execute any operation via natural language. Creates dashboards, widgets, queries, configures alerts, generates reports, and more. Routes to the appropriate internal agents automatically.
• Ask: Ask a data question in natural language. Finds relevant datasets via schema search, generates SQL, and returns results. Results are limited to 500 rows by default (use maxRows to adjust). Use get
• Search: Search across all assets -- dashboards, widgets, datasets, queries, reports, alerts, and documents.

AgentLadle Financial Reports MCP

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AgentLadle Financial Reports MCP Welcome to the AgentLadle Financial Reports MCP Server!

• FinancialKeywordSearch: Full-text keyword search across financial reports. Use 1-5 keywords (CN-A: Simplified Chinese; HK/US: English). Prefer stockCode from searchCompanyInfo. For TOC use getFinancia
• GetFinancialReportPages: Read full page content by page range. For TOC use startPage=1, pageCount=3~5. Prefer stockCode from searchCompanyInfo. Report types: annual a4 (e.g. 2025a4), interim h2 (e.g.
• SearchCompanyInfo: Search listed companies by name or stock code. market is required (CN-A | HK | US). If no hit, retry another market. Returns stockCode, stockName, market, listingDate. Currently onl

AgentMD

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Convert PDF, DOCX, HTML, and URLs to clean, LLM-ready markdown with tables preserved

agentready-mcp

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Query any docs site via MCP.

Public agent wiki: read-only search and article tools; authenticated write tools on /mcp/write.

AgentScrape

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Pay-per-call web scraping for AI agents — no signup, no API keys, just USDC.

• Scrape Webpage: Scrape any webpage and return content as markdown, html, text, or json. Pay-per-call web scraping for AI agents.
• Extract Structured Data: AI-powered structured data extraction from any webpage using natural language. Returns JSON matching your prompt or schema.
• Screenshot Webpage: Capture a PNG screenshot of any webpage. Supports desktop, mobile, and tablet viewports, plus full-page mode.

AgentShare-Price-API

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DeFi-first Solana intelligence for autonomous agents: Meteora DLMM pool briefs (verdict/risk/momentum), single-pool depth, Solana DEX scout (DefiLlama), plus…

• Dex Overview: Rank DEX protocols by 24h volume or 1d change via DefiLlama (read-only macro scout).
• Dex Top Movers: Largest absolute 1d volume % change among liquid DEX protocols (DefiLlama).
• Solana Dex Brief: Protocol-level Solana DEX intelligence (Raydium, Orca, Meteora, …): volume, 24h change, verdict/risk from DefiLlama aggregates.

27 pay-per-call web tools for agents: scrape, screenshot, PDF, OCR, search, prices, validation.

agentview

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agentView Premium digital signage control plane for AI agents.

• Create Auth Session: Creates a browser-based login session and returns a loginUrl the user must open to authenticate. Use this as the first step when your client cannot complete OAuth 2.1 with PKCE it
• Get Auth Session: Polls the status of a login session created by create_auth_session and returns the agent token once the user completes the browser login. Use this after create_auth_session; poll eve
• Authenticate: Validates a JWT agent token and caches the resulting identity on the current MCP session so that subsequent protected tool calls succeed without resending the token. Use this only if you

Agile project management over MCP: boards, epics, roadmap, retros, whiteboards, wiki, metrics

AginxBrowser

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Agent-first browser server: one Rust binary with V8 built in.

• Account Delete: Delete a named login identity: stored record AND live jar. Cookie values are credentials — delete means gone. Sessions currently running as the account keep their in-process jar handle
• Account List: List named login identities (the multi-account layer) with metadata only: name, cookie domains, cookie count, updated_at, the last account_verify verdict, and the identity's persona User
• Account Verify: Check whether a named account is still logged in. Teach-once: the first call passes url + predicate (a JS expression truthy on a logged-in page, e.g. !!document.querySelector('.user-ni

ai-context-flow

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Universal memory for AI agents and tools.

• Get User Memory Buckets: List all memory buckets (AI profiles) for the authenticated user. Each bucket is a themed collection of documents, notes, and files. Returns bucket IDs, names, and item counts
• List Items In Memory Bucket: List all stored items (documents, files, notes) inside a specific memory bucket. Returns item metadata including title, description, source type, file name, size, and chun
• Search Memory: Search across the user's stored memory using semantic vector similarity. Finds relevant content even when the query doesn't exactly match stored text. Searches all memory buckets by def

AI Humanizer

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AI Humanizer MCP Server AI Humanizer is a Model Context Protocol (MCP) server that allows MCP-compatible AI assistants, agents, and developer tools to…

• Humanize Text: Humanize text with Ryter Pro; this consumes credits from the API key owner.
• Ryterpro Api Info: Return Ryter Pro MCP configuration and documentation links.

AI Manga & Anime Generator - Mangii MCP

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Mangii MCP listing copy Canonical text for every MCP / API directory.

• Manga.List Styles: List the 24 canonical Mangii art styles with live style ids. Call this before manga.create_story. Experimental and alias ids are excluded. Filter with group or limit when you only n
• Manga.Get Credits: Return the API wallet. Spendable is apiPackCredits plus purchase-backed packCredits. weeklyCredits is display-only and does not pay MCP or HTTP generate. Use this before a paid tool
• Manga.List Panels: List panels you own for a story. Use this to get panel_id values before changing Image 1 or Image 2 on manga.continue_story or manga.regenerate_panel. Each row has ref_role: identit

AI NetCafé

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Hosted open-source AI apps, callable by agents — with one-call app publishing.

• List Apps: List the open-source AI applications hosted and ready to run at AI NetCafé (ainetcafe.com). Each one normally requires local setup (Docker/Python + your own model API key); here they run pr
• Get App: Full details of one hosted application: what it does, how to use it, measured benchmark scores, source repository, and the URL a human can open to run it.
• Ask Model: Send a prompt to one specific large language model and get the answer plus its exact cost in USD. Useful when you want a second opinion from a different model, or a cheaper model for a bulk