{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-mkinf","slug":"mkinf","name":"mkinf","type":"mcp","url":"https://mkinf.io","page_url":"https://unfragile.ai/mkinf","categories":["mcp-servers"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-mkinf__cap_0","uri":"capability://search.retrieval.mcp.based.agent.discovery.and.registry.browsing","name":"mcp-based agent discovery and registry browsing","description":"Provides a searchable, categorized registry of 1000+ pre-built AI agents and tools from 100+ publishers, organized by use case and capability. Users browse agents via web interface, inspect metadata (publisher, MCP protocol support, capabilities), and fork agents for customization. The registry uses MCP (Model Context Protocol) as the standard integration format, enabling agents to expose standardized tool schemas and capabilities that downstream applications can discover and invoke.","intents":["Find pre-built agents that match my specific workflow requirements without building from scratch","Discover what tools and integrations are available in the MCP ecosystem","Compare agents from different publishers to select the best fit for my use case","Understand what capabilities an agent exposes before integrating it"],"best_for":["AI engineers building agent-based workflows who want to avoid reinventing common tools","Teams evaluating MCP-compatible agents for production deployment","Developers prototyping multi-agent systems and need rapid agent composition"],"limitations":["Quality and reliability of agents varies across 100+ publishers — no standardized SLA or vetting process documented","No filtering by performance metrics, latency guarantees, or uptime SLAs","Early Access platform — full feature set not yet available; monetization system not yet live","Agent metadata completeness unknown — may lack detailed capability specifications or usage examples"],"requires":["Web browser for registry access","MCP client or SDK to integrate discovered agents into workflows","Understanding of MCP protocol and agent invocation patterns"],"input_types":["search queries","filter criteria (use case, publisher, capability tags)"],"output_types":["agent metadata (name, description, publisher, MCP schema)","agent documentation links","fork/integration instructions"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mkinf__cap_1","uri":"capability://automation.workflow.agent.forking.and.customization.workflow","name":"agent forking and customization workflow","description":"Enables users to fork existing agents from the registry and modify them to fit specific requirements without modifying the original. The forking mechanism likely creates a copy of the agent's configuration, MCP schema, and code (if open source), allowing customization of tool bindings, parameters, and behavior. Modified agents can be re-published to the registry or deployed privately. This pattern reduces development time by providing a starting template rather than building agents from first principles.","intents":["Adapt an existing agent to my specific domain or use case by modifying its tool bindings","Create a private variant of a public agent with custom integrations","Extend an agent with additional tools or capabilities without forking the entire codebase","Publish my customized agent back to the registry to share with the community"],"best_for":["Teams with domain-specific requirements who want to start from a working agent template","Developers building internal tools who need rapid iteration on agent behavior","Contributors wanting to publish improved versions of existing agents"],"limitations":["Forking mechanism details unknown — unclear if it's code-level (Git-style) or configuration-level (parameter override)","No version control or merge conflict resolution documented for collaborative agent development","Dependency management for forked agents unclear — if upstream agent updates, does fork auto-update or require manual sync?","No documented rollback or version history for agent modifications"],"requires":["mkinf account with fork permissions","Understanding of the original agent's MCP schema and tool definitions","Ability to modify agent configuration (format unknown — likely JSON or YAML)","Optional: code editing skills if modifying agent logic"],"input_types":["existing agent from registry","custom configuration parameters","modified tool bindings or integrations"],"output_types":["forked agent configuration","modified MCP schema","publishable agent artifact"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mkinf__cap_2","uri":"capability://safety.moderation.secure.managed.sandbox.execution.for.agents","name":"secure managed sandbox execution for agents","description":"Provides isolated execution environments (sandboxes) for running agents on mkinf's infrastructure, preventing agents from accessing unauthorized resources or interfering with each other. The platform claims 'secure managed sandboxes for scalable, hassle-free execution,' but specific isolation mechanisms (containerization, VM-level isolation, resource quotas) are not documented. Agents run in these sandboxes and can invoke tools via MCP without direct access to the host system, enabling safe multi-tenant execution of untrusted or community-contributed agents.","intents":["Run agents from untrusted publishers without risking my infrastructure or data","Execute agents at scale without managing my own sandboxing infrastructure","Isolate agent execution so one agent's failure or resource exhaustion doesn't affect others","Comply with security requirements by running agents in controlled, auditable environments"],"best_for":["Organizations deploying community-contributed or third-party agents in production","Teams without infrastructure expertise who want managed agent execution","Platforms hosting multiple agents and needing strong isolation guarantees"],"limitations":["Sandbox isolation mechanism unknown — no documentation on whether isolation is container-level, VM-level, or process-level","Resource limits (CPU, memory, network bandwidth) not specified — unclear if agents can be rate-limited or throttled","Network access restrictions unknown — can agents make arbitrary HTTP requests, or is outbound access restricted?","No documented audit trail or logging of agent actions within sandboxes","Early Access platform — sandbox stability and security properties not yet battle-tested in production"],"requires":["Agent compatible with mkinf's sandbox runtime (format/requirements unknown)","MCP server implementation for agent-to-tool communication","Acceptance of mkinf's terms for agent execution and data handling"],"input_types":["agent code/configuration","agent invocation parameters","tool requests from agent"],"output_types":["agent execution results","tool responses","execution logs (if available)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mkinf__cap_3","uri":"capability://tool.use.integration.mcp.protocol.integration.and.tool.schema.standardization","name":"mcp protocol integration and tool schema standardization","description":"Implements Model Context Protocol (MCP) as the standard interface for agents to discover, invoke, and compose tools. Agents expose their capabilities via MCP schemas (likely JSON-based tool definitions), and mkinf's infrastructure translates agent requests into MCP-compliant tool invocations. This standardization enables agents from different publishers to use the same tools without custom integration code, and allows downstream applications to discover agent capabilities programmatically by inspecting MCP schemas.","intents":["Integrate agents without writing custom adapter code for each agent-tool pair","Discover what tools an agent can use by inspecting its MCP schema","Compose agents and tools from different publishers in a single workflow","Build agent orchestration logic that works across agents from different vendors"],"best_for":["Developers building multi-agent systems that need interoperability across agents","Teams standardizing on MCP for tool integration across their agent ecosystem","Tool publishers wanting to expose their capabilities to any MCP-compatible agent"],"limitations":["MCP specification version and mkinf's compliance level unknown — unclear if all MCP features are supported","Tool schema validation and error handling not documented — what happens if an agent sends malformed MCP requests?","No documented support for MCP extensions or custom protocol features","Performance overhead of MCP serialization/deserialization not quantified — adds latency per tool invocation"],"requires":["Agent implementation with MCP client support","Tool implementations that expose MCP-compatible schemas","Understanding of MCP protocol (external specification, not mkinf-specific)"],"input_types":["MCP tool schema definitions (JSON)","agent requests (MCP-formatted)"],"output_types":["tool responses (MCP-formatted)","agent-readable results"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mkinf__cap_4","uri":"capability://automation.workflow.distributed.gpu.infrastructure.for.agent.execution","name":"distributed gpu infrastructure for agent execution","description":"Provides access to a distributed network of GPUs across 'top tier data centers' for running agents that require GPU acceleration (e.g., agents using vision models, large language models, or compute-intensive tools). Users can launch GPU instances on-demand via the platform, and agents running in these instances can access GPU resources for inference or training. The specific GPU types, availability, and pricing are not documented.","intents":["Run agents that require GPU acceleration without provisioning my own GPU infrastructure","Scale agent execution across multiple GPUs for parallel processing","Access expensive GPU resources (e.g., A100s) on a pay-as-you-go basis","Deploy vision-based agents or large language models without capital investment in hardware"],"best_for":["Teams running compute-intensive agents (vision, large models) without GPU infrastructure","Startups avoiding upfront GPU hardware investment","Researchers prototyping GPU-accelerated agents at scale"],"limitations":["GPU types, availability, and capacity not specified — unclear what GPUs are available (V100, A100, H100, etc.)","Pricing for GPU usage unknown — no cost information provided","Data center locations unknown — unclear if agents can be pinned to specific regions for latency/compliance","No documented SLA for GPU availability or performance","GPU allocation mechanism unknown — unclear if GPUs are dedicated, shared, or dynamically allocated","Early Access — GPU infrastructure may not be fully operational yet"],"requires":["mkinf account with GPU access enabled","Agent compatible with GPU execution (CUDA, PyTorch, TensorFlow support assumed but not documented)","Understanding of GPU resource requirements for your agent"],"input_types":["agent code","GPU instance configuration (type, count, duration)"],"output_types":["GPU instance handle","agent execution results","usage metrics (if available)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mkinf__cap_5","uri":"capability://data.processing.analysis.agent.monetization.and.usage.analytics.tracking","name":"agent monetization and usage analytics tracking","description":"Provides built-in analytics and monetization infrastructure for agent publishers to track usage, earn revenue, and understand agent adoption. The platform claims 'Soon, you'll be able to contribute and earn,' indicating a future monetization system where publishers can charge for agent usage or subscriptions. Analytics likely track invocations, execution time, errors, and user demographics, enabling publishers to optimize agents and understand demand.","intents":["Monetize agents I've published by charging users per invocation or subscription","Track how many times my agent is used and by whom","Understand which features of my agent are most valuable to users","Earn revenue from the agent ecosystem without managing billing infrastructure"],"best_for":["Independent developers publishing agents and wanting to monetize them","Teams building specialized agents for specific industries or use cases","Contributors to the open-source agent ecosystem wanting sustainable income"],"limitations":["Monetization system not yet live — described as 'coming soon' with no launch date","Pricing model unknown — unclear if it's per-invocation, subscription, revenue share, or fixed fee","Payment processing and payout mechanisms not documented","No documented minimum usage thresholds or payout minimums","Analytics granularity unknown — unclear what metrics are tracked and how detailed they are","No documented fraud prevention or usage abuse detection"],"requires":["Published agent on mkinf registry","mkinf account with monetization enabled (when available)","Acceptance of mkinf's revenue share or pricing terms (not yet published)"],"input_types":["agent usage data (invocations, execution time, errors)"],"output_types":["usage analytics dashboard","revenue reports","payout information (when monetization launches)"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mkinf__cap_6","uri":"capability://tool.use.integration.agent.sdk.and.api.integration.for.downstream.applications","name":"agent sdk and api integration for downstream applications","description":"Provides an SDK or API interface for applications to discover, invoke, and manage agents from the mkinf registry programmatically. Applications can call agents via SDK methods or REST/GraphQL APIs, passing input parameters and receiving results. The SDK likely handles authentication, agent discovery, MCP protocol translation, and result marshaling, abstracting away the complexity of directly interfacing with MCP servers. Specific SDK languages, API endpoints, and authentication mechanisms are not documented.","intents":["Integrate agents from mkinf into my application without manually managing MCP connections","Programmatically discover available agents and their capabilities at runtime","Invoke agents with custom parameters and handle results in my application","Build agent orchestration logic that composes multiple agents from the registry"],"best_for":["Application developers embedding agents into their products","Teams building agent orchestration platforms on top of mkinf","Developers prototyping multi-agent workflows without managing infrastructure"],"limitations":["SDK languages and availability unknown — unclear if SDKs exist for Python, JavaScript, Go, etc.","API documentation not provided — endpoint structure, authentication, rate limits unknown","Error handling and retry logic not documented","Latency characteristics unknown — no information on API response times or SLAs","SDK version management and backward compatibility not specified","Early Access — API stability and feature completeness not guaranteed"],"requires":["mkinf API key or authentication credentials (format unknown)","SDK for your programming language (if available)","Network access to mkinf's API endpoints"],"input_types":["agent identifier or name","agent invocation parameters","optional: agent selection criteria (filters)"],"output_types":["agent execution results","agent metadata","error responses"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mkinf__cap_7","uri":"capability://automation.workflow.community.agent.publishing.and.contribution.workflow","name":"community agent publishing and contribution workflow","description":"Enables developers to publish custom agents to the mkinf registry, making them discoverable and usable by other developers. The publishing workflow likely involves uploading agent code/configuration, defining MCP schemas, writing documentation, and setting visibility (public/private). Published agents are versioned and can be forked, modified, and improved by the community. This creates a collaborative ecosystem where agents evolve through community contributions.","intents":["Share agents I've built with the broader community","Contribute improvements to existing agents via forks and pull requests","Build a portfolio of published agents to demonstrate expertise","Collaborate with other developers on agent development"],"best_for":["Open-source contributors wanting to share agents with the community","Teams building agents for specific domains and wanting to monetize them","Developers building reputation in the agent ecosystem"],"limitations":["Publishing workflow and requirements not documented — unclear what metadata, documentation, or tests are required","No documented code review or quality vetting process for published agents","Version management and deprecation policies unknown","Licensing and intellectual property terms not specified","No documented mechanism for reporting or removing malicious agents","Community governance model unknown — unclear how disputes or quality issues are resolved"],"requires":["mkinf account with publishing permissions","Agent code/configuration in a format compatible with mkinf","MCP schema definition for the agent","Documentation describing the agent's capabilities and usage"],"input_types":["agent code","MCP schema","documentation (markdown or similar)","metadata (name, description, tags, license)"],"output_types":["published agent on registry","agent URL/identifier","version history"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Web browser for registry access","MCP client or SDK to integrate discovered agents into workflows","Understanding of MCP protocol and agent invocation patterns","mkinf account with fork permissions","Understanding of the original agent's MCP schema and tool definitions","Ability to modify agent configuration (format unknown — likely JSON or YAML)","Optional: code editing skills if modifying agent logic","Agent compatible with mkinf's sandbox runtime (format/requirements unknown)","MCP server implementation for agent-to-tool communication","Acceptance of mkinf's terms for agent execution and data handling"],"failure_modes":["Quality and reliability of agents varies across 100+ publishers — no standardized SLA or vetting process documented","No filtering by performance metrics, latency guarantees, or uptime SLAs","Early Access platform — full feature set not yet available; monetization system not yet live","Agent metadata completeness unknown — may lack detailed capability specifications or usage examples","Forking mechanism details unknown — unclear if it's code-level (Git-style) or configuration-level (parameter override)","No version control or merge conflict resolution documented for collaborative agent development","Dependency management for forked agents unclear — if upstream agent updates, does fork auto-update or require manual sync?","No documented rollback or version history for agent modifications","Sandbox isolation mechanism unknown — no documentation on whether isolation is container-level, VM-level, or process-level","Resource limits (CPU, memory, network bandwidth) not specified — unclear if agents can be rate-limited or throttled","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:18.053Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mkinf","compare_url":"https://unfragile.ai/compare?artifact=mkinf"}},"signature":"TG96tvQn99nels/9cGGVDsRU1qbjh6HmnIVoon/ssOKIKv5n9jG9FN7kXTDUJGxe8XYd9Wxs9M6bYcwTLtj+Dg==","signedAt":"2026-06-22T09:54:06.818Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mkinf","artifact":"https://unfragile.ai/mkinf","verify":"https://unfragile.ai/api/v1/verify?slug=mkinf","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}