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Each service has a dedicated MCP server implementation (Python, TypeScript, or Go) that handles service-specific authentication patterns, token refresh, and credential storage, all coordinated through a central Management API that provisions and configures servers at runtime.","intents":["I need to connect my agent to Salesforce, Slack, GitHub, and Airtable without managing separate authentication","I want to add a new service integration without rewriting authentication logic","I need OAuth tokens refreshed automatically without agent intervention"],"best_for":["Enterprise teams integrating agents with multiple SaaS platforms","Developers building multi-tenant agent platforms requiring white-label support","Teams needing self-hosted MCP servers with centralized credential management"],"limitations":["OAuth2 flow requires user interaction for initial consent (cannot be fully automated for new users)","Service-specific rate limits are not unified — each MCP server enforces its own limits independently","Adding new service requires implementing a new MCP server (no generic REST-to-MCP adapter)","Credential storage requires secure backend (Klavis cloud or self-hosted secure store)"],"requires":["OAuth2 credentials (client ID/secret) for each service","Python 3.8+ or Node.js 16+ for MCP server runtime","Docker for self-hosted deployments","API keys or OAuth tokens for target services (Salesforce, Slack, GitHub, etc.)"],"input_types":["OAuth authorization codes","API credentials","service configuration (JSON)","user authentication context"],"output_types":["authenticated MCP server instances","access tokens","service-specific tool schemas","credential refresh responses"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-klavis-ai-klavis__cap_10","uri":"capability://tool.use.integration.crm.and.sales.platform.integrations.salesforce.hubspot.asana.close.affinity","name":"crm and sales platform integrations (salesforce, hubspot, asana, close, affinity)","description":"Provides specialized MCP servers for CRM and sales platforms with support for service-specific features like SOQL queries (Salesforce), deal pipeline management (HubSpot), task automation (Asana), and relationship mapping (Affinity). 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Developers define Strata behavior through YAML/JSON configuration files that specify which MCP servers to load, tool filtering rules, and relevance scoring parameters, then deploy via Docker Compose or Kubernetes without modifying source code.","intents":["I need to run Klavis infrastructure in my own data center for compliance","I want to customize tool discovery rules for my specific domain","I need to deploy Strata alongside my agent infrastructure"],"best_for":["Enterprise teams with data residency or compliance requirements","Organizations building private agent platforms with custom tool discovery logic","Teams wanting to avoid cloud vendor lock-in"],"limitations":["Self-hosted Strata requires managing Docker infrastructure, networking, and updates independently","No automatic scaling — requires manual Kubernetes configuration for high-availability deployments","Tool discovery relevance scoring is fixed at deployment time; dynamic tuning requires redeployment","Credential storage must be implemented separately (Strata provides no built-in secure store)"],"requires":["Docker 20.10+ or Docker Compose 2.0+","Python 3.8+ (for Strata runtime)","Kubernetes 1.20+ (optional, for production deployments)","Network access to MCP servers and target services"],"input_types":["Strata configuration (YAML/JSON)","MCP server definitions","tool discovery rules","authentication credentials"],"output_types":["running Strata service","MCP router endpoints","tool discovery responses","deployment logs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-klavis-ai-klavis__cap_4","uri":"capability://tool.use.integration.openai.function.calling.integration.with.automatic.schema.mapping","name":"openai function calling integration with automatic schema mapping","description":"Bridges Klavis MCP tools to OpenAI's function calling API by automatically converting MCP tool schemas to OpenAI function definitions and mapping function call responses back to MCP tool invocations. Handles the schema translation layer transparently, allowing OpenAI models to invoke Klavis tools through native function calling without agents needing to understand MCP protocol details, including automatic parameter validation and error handling.","intents":["I want to use OpenAI's function calling with Klavis tools without manual schema conversion","I need my OpenAI agent to invoke Slack, GitHub, and Salesforce tools seamlessly","I want automatic error handling when OpenAI function calls fail"],"best_for":["Teams using OpenAI API for agent development","Developers wanting to leverage OpenAI's native function calling with Klavis integrations","Builders migrating from custom tool implementations to Klavis"],"limitations":["Schema mapping is one-directional — OpenAI function definitions cannot be used to generate MCP schemas","OpenAI function calling has a 128 concurrent function limit; Klavis cannot exceed this","Complex nested parameter types may not map cleanly between MCP and OpenAI schemas","Requires OpenAI API key and active subscription"],"requires":["OpenAI API key with function calling access","Python 3.8+ or Node.js 16+ for integration code","Klavis API credentials","MCP servers configured and running"],"input_types":["MCP tool schemas","OpenAI function call requests","tool invocation parameters"],"output_types":["OpenAI function definitions (JSON)","function call responses","tool invocation results"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-klavis-ai-klavis__cap_5","uri":"capability://tool.use.integration.rest.api.for.mcp.server.provisioning.and.lifecycle.management","name":"rest api for mcp server provisioning and lifecycle management","description":"Exposes REST endpoints for programmatic MCP server management, allowing developers to create, configure, authenticate, and destroy MCP server instances at runtime through API calls rather than manual configuration. 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Developers call a single `/tools/invoke` endpoint with tool name and parameters, and the API routes the request to the appropriate MCP server, executes the tool, and returns structured results with error details if invocation fails, abstracting away MCP protocol complexity.","intents":["I need to invoke Salesforce tools from my agent without understanding MCP protocol","I want consistent error handling across all tool invocations","I need to test tool invocations before deploying agents"],"best_for":["Agent developers wanting simple HTTP-based tool invocation","Teams building agent testing and debugging tools","Developers integrating Klavis into non-MCP-aware systems"],"limitations":["Tool invocation is synchronous; long-running tools block the HTTP request","No built-in retry logic for transient failures; clients must implement retries","Tool result size is limited by HTTP response size limits (typically 10-100MB)","Parameter validation happens at invocation time; schema validation errors are not caught early"],"requires":["Klavis API credentials","HTTP client library","Network access to Klavis API","MCP servers configured and authenticated"],"input_types":["tool name (string)","tool parameters (JSON)","authentication context"],"output_types":["tool execution results (JSON)","error responses with details","execution metadata (duration, tokens used)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-klavis-ai-klavis__cap_7","uri":"capability://safety.moderation.oauth2.credential.management.with.automatic.token.refresh","name":"oauth2 credential management with automatic token refresh","description":"Manages OAuth2 tokens for all integrated services, handling initial authorization flows, token storage, automatic refresh before expiration, and revocation. Implements secure credential storage with encryption at rest, automatic refresh scheduling that proactively refreshes tokens before expiration to prevent tool invocation failures, and fallback mechanisms for refresh failures.","intents":["I need OAuth tokens refreshed automatically without agent intervention","I want to revoke service access without manual credential cleanup","I need secure credential storage that doesn't expose tokens in logs"],"best_for":["Multi-user agent platforms requiring per-user OAuth credentials","Enterprise teams needing audit trails for credential access","Teams deploying agents that run 24/7 and need automatic token refresh"],"limitations":["Automatic refresh requires background job infrastructure; no built-in scheduler provided","Token refresh failures are not automatically retried; requires external retry logic","Revocation is not instantaneous — cached tokens may remain valid for up to 5 minutes","Credential storage encryption key management is not provided; requires external KMS"],"requires":["OAuth2 provider support (most major platforms supported)","Secure credential storage backend (Klavis cloud or self-hosted vault)","Background job scheduler for token refresh (Celery, APScheduler, etc.)"],"input_types":["OAuth authorization codes","refresh tokens","credential metadata"],"output_types":["access tokens","token expiration times","refresh status"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-klavis-ai-klavis__cap_8","uri":"capability://tool.use.integration.white.label.user.and.organization.management.api","name":"white-label user and organization management api","description":"Provides REST endpoints for managing users, organizations, and access control in multi-tenant deployments, enabling partners to build branded agent platforms on top of Klavis infrastructure. Supports user creation, role-based access control (RBAC), organization isolation, and usage tracking per user/org, allowing partners to implement their own billing and access policies without modifying Klavis core.","intents":["I want to build a branded agent platform using Klavis infrastructure","I need to isolate tool access by user and organization","I want to track usage per customer for billing purposes"],"best_for":["SaaS platforms building agent capabilities for end users","Agencies deploying custom agent solutions for multiple clients","Enterprise teams building internal agent platforms with multi-team access control"],"limitations":["RBAC is limited to predefined roles; custom permission granularity requires API extension","Organization isolation is logical, not cryptographic — requires trust in application layer","Usage tracking is event-based; real-time usage queries may have 5-10 minute lag","No built-in billing integration; partners must implement their own billing system"],"requires":["Klavis API credentials with admin access","User management backend (can be external identity provider)","Organization/tenant model in application"],"input_types":["user creation requests","organization configuration","role assignments","usage queries"],"output_types":["user credentials","organization tokens","usage reports","access control decisions"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-klavis-ai-klavis__cap_9","uri":"capability://tool.use.integration.service.specific.mcp.server.implementations.with.native.api.patterns","name":"service-specific mcp server implementations with native api patterns","description":"Provides 50+ production-ready MCP server implementations (Python, TypeScript, Go) for major platforms (Salesforce, Slack, GitHub, Notion, HubSpot, Airtable, etc.), each implementing service-specific API patterns, error handling, and optimization strategies rather than generic REST-to-MCP adapters. 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