{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_anchord-anchord","slug":"anchord-anchord","name":"Anchord","type":"mcp","url":"https://www.anchord.ai","page_url":"https://unfragile.ai/anchord-anchord","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:anchord/anchord"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_anchord-anchord__cap_0","uri":"capability://data.processing.analysis.canonical.customer.identity.resolution","name":"canonical-customer-identity-resolution","description":"Resolves fragmented customer records across multiple data sources into a single canonical identity by querying the Anchord API through MCP protocol. The system maintains a unified customer view by deduplicating and linking records based on configurable matching rules, enabling AI agents to work with authoritative customer data without manual reconciliation or data quality issues.","intents":["I need my AI agent to identify the true customer identity when given partial or conflicting customer data","I want to prevent duplicate customer records from being created or updated independently","I need to know which customer records in my system refer to the same real-world person"],"best_for":["AI agents handling customer data in CRM, support, or analytics workflows","Teams building identity-aware applications that integrate with Anchord's identity resolution service","Organizations with fragmented customer data across multiple systems needing unified views"],"limitations":["Read-only capability — cannot create or modify customer records directly; requires separate write operations","Depends on Anchord API's matching rules and data quality; resolution accuracy limited by upstream data completeness","Latency depends on Anchord API response time and network conditions; not suitable for sub-100ms identity lookups"],"requires":["MCP client implementation (Claude Desktop, Cline, or compatible MCP host)","Valid Anchord API credentials and access to customer identity database","Network connectivity to Anchord's hosted MCP server"],"input_types":["customer identifiers (email, phone, ID)","partial customer attributes (name, address, company)","structured customer records"],"output_types":["canonical customer ID","merged customer profile","confidence scores for identity matches","list of linked source records"],"categories":["data-processing-analysis","identity-resolution"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_anchord-anchord__cap_1","uri":"capability://data.processing.analysis.linked.record.inspection","name":"linked-record-inspection","description":"Inspects and returns all records linked to a canonical customer identity, including source system references, relationship types, and metadata. The capability traverses the identity graph maintained by Anchord to surface all connected records, enabling agents to understand the full context of a customer across integrated systems without requiring direct access to each source system.","intents":["I need to see all customer records linked to a canonical identity across our integrated systems","I want to understand which source systems have data for a given customer","I need to verify that all related records are properly linked before taking action"],"best_for":["Support agents using AI assistants to investigate customer issues across multiple systems","Data quality teams auditing identity linking and record relationships","AI agents performing multi-system customer analysis or compliance checks"],"limitations":["Returns only linked records already indexed by Anchord; does not discover new relationships or perform real-time cross-system queries","Relationship metadata limited to what Anchord has indexed; may not include all custom fields from source systems","Pagination required for customers with large numbers of linked records; no built-in batching for multiple identity lookups"],"requires":["MCP client with support for streaming or paginated responses","Anchord API access with permissions to inspect linked records","Canonical customer ID or resolvable customer identifier"],"input_types":["canonical customer ID","customer identifier (email, phone, external ID)"],"output_types":["list of linked records with source system, record ID, and relationship type","record metadata (creation date, last modified, status)","relationship graph structure"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_anchord-anchord__cap_2","uri":"capability://safety.moderation.ambiguity.detection.and.flagging","name":"ambiguity-detection-and-flagging","description":"Detects and flags ambiguous customer identities where multiple canonical records could match the provided data, or where linking confidence is below configured thresholds. The system analyzes matching signals and returns ambiguity indicators with details about conflicting matches, enabling agents to escalate uncertain cases rather than making incorrect identity assumptions.","intents":["I need my agent to detect when customer identity is ambiguous and ask for clarification instead of guessing","I want to flag records that might be incorrectly linked or have low confidence matches","I need to prevent my agent from taking action on uncertain customer identities"],"best_for":["AI agents handling sensitive customer operations (billing, support, compliance) where identity errors are costly","Teams building customer-facing AI features that need to handle edge cases gracefully","Organizations with data quality issues or high rates of duplicate/similar customer records"],"limitations":["Ambiguity detection depends on Anchord's matching rules and confidence thresholds; custom ambiguity logic requires Anchord configuration changes","Does not resolve ambiguity automatically; agents must implement escalation or clarification workflows","Confidence scores are relative to Anchord's matching model; may not reflect domain-specific ambiguity (e.g., two customers with identical names in same company)"],"requires":["Anchord API with ambiguity detection enabled and configured thresholds","MCP client capable of handling structured ambiguity responses","Agent logic to handle ambiguity cases (escalation, user prompts, etc.)"],"input_types":["customer identifiers with partial or conflicting data","customer attributes that may match multiple records"],"output_types":["ambiguity flag (boolean or confidence score)","list of candidate identities with match scores","explanation of conflicting signals","recommended action (escalate, clarify, use default)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_anchord-anchord__cap_3","uri":"capability://safety.moderation.proposed.write.evaluation.and.validation","name":"proposed-write-evaluation-and-validation","description":"Evaluates proposed customer data writes against the canonical identity model before execution, validating that updates are consistent with linked records and will not create duplicates or break identity relationships. The system simulates the write operation against Anchord's identity rules and returns validation results with warnings or errors, enabling agents to preview consequences before committing changes.","intents":["I need to validate that a proposed customer update won't create duplicates or break record linkage","I want to check if a customer attribute change will conflict with linked records before writing","I need to understand the impact of a customer data change on the identity graph before committing"],"best_for":["AI agents performing customer data updates (CRM, support systems) that need validation before write","Workflows requiring approval or preview of customer data changes before execution","Teams building data quality safeguards into agent-driven customer operations"],"limitations":["Validation is read-only simulation; does not prevent actual writes if executed outside Anchord's control","Validation rules limited to Anchord's identity model; does not check business logic, compliance rules, or downstream system constraints","Proposed writes must be structured according to Anchord's schema; custom or system-specific fields may not be validated"],"requires":["Anchord API with write validation endpoint","MCP client capable of sending structured write proposals","Canonical customer ID and proposed attribute changes"],"input_types":["canonical customer ID","proposed attribute changes (structured object)","source system context (which system is proposing the write)"],"output_types":["validation result (pass/fail/warning)","list of conflicts or issues detected","impact analysis (which linked records affected)","recommendations for resolving conflicts"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_anchord-anchord__cap_4","uri":"capability://tool.use.integration.mcp.protocol.integration.and.routing","name":"mcp-protocol-integration-and-routing","description":"Implements the Model Context Protocol (MCP) server specification, exposing Anchord's identity resolution capabilities as standardized MCP resources and tools that AI agents can discover and invoke. The server handles MCP request routing, serialization, and response formatting, enabling seamless integration with MCP-compatible clients (Claude Desktop, Cline, etc.) without custom API client code.","intents":["I want to use Anchord's identity resolution in Claude or other MCP-compatible AI agents without writing custom API code","I need to expose Anchord capabilities as discoverable tools in my AI agent's tool registry","I want to integrate Anchord with my existing MCP-based agent infrastructure"],"best_for":["Developers building AI agents with Claude or other MCP-compatible LLMs","Teams using MCP as their standard agent integration pattern","Organizations wanting to expose Anchord as a managed MCP server without self-hosting"],"limitations":["MCP protocol overhead adds latency compared to direct API calls; not suitable for high-frequency, low-latency identity lookups","Hosted MCP server availability and uptime depend on Anchord's infrastructure; no SLA guarantees mentioned","MCP client support varies; some older or custom agent frameworks may not support MCP protocol"],"requires":["MCP-compatible client (Claude Desktop 0.2+, Cline, or other MCP host)","Anchord API credentials configured in MCP client","Network access to Anchord's hosted MCP server endpoint"],"input_types":["MCP tool invocation requests (JSON-RPC format)","customer identifiers and query parameters"],"output_types":["MCP tool results (JSON-RPC responses)","structured identity data, linked records, validation results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_anchord-anchord__cap_5","uri":"capability://safety.moderation.read.only.safety.enforcement","name":"read-only-safety-enforcement","description":"Enforces read-only semantics at the MCP server level, preventing any external write operations while allowing agents to query identity data safely. The server validates all incoming requests and rejects any operations that would modify customer data, ensuring that agents can use Anchord for inspection and validation without risk of accidental data corruption.","intents":["I need to ensure my AI agent can inspect customer identity data without accidentally modifying it","I want to prevent agents from making unauthorized writes through the Anchord integration","I need a safety guarantee that Anchord operations are read-only and non-destructive"],"best_for":["Teams deploying AI agents in production where data safety is critical","Organizations with strict data governance requiring read-only access patterns","Workflows where agents need to inspect data before human approval of writes"],"limitations":["Read-only enforcement means agents cannot directly update customer data through Anchord; requires separate write operations through other systems","Validation of proposed writes is simulated only; actual writes must be executed through authorized channels","No audit logging or write attempt tracking at MCP layer; requires external logging for compliance"],"requires":["MCP server implementation with request validation","Anchord API with read-only access mode","Agent framework that respects MCP tool semantics (no workarounds)"],"input_types":["any MCP request (validated for read-only compliance)"],"output_types":["read-only query results","error responses for write attempts"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":33,"verified":false,"data_access_risk":"high","permissions":["MCP client implementation (Claude Desktop, Cline, or compatible MCP host)","Valid Anchord API credentials and access to customer identity database","Network connectivity to Anchord's hosted MCP server","MCP client with support for streaming or paginated responses","Anchord API access with permissions to inspect linked records","Canonical customer ID or resolvable customer identifier","Anchord API with ambiguity detection enabled and configured thresholds","MCP client capable of handling structured ambiguity responses","Agent logic to handle ambiguity cases (escalation, user prompts, etc.)","Anchord API with write validation endpoint"],"failure_modes":["Read-only capability — cannot create or modify customer records directly; requires separate write operations","Depends on Anchord API's matching rules and data quality; resolution accuracy limited by upstream data completeness","Latency depends on Anchord API response time and network conditions; not suitable for sub-100ms identity lookups","Returns only linked records already indexed by Anchord; does not discover new relationships or perform real-time cross-system queries","Relationship metadata limited to what Anchord has indexed; may not include all custom fields from source systems","Pagination required for customers with large numbers of linked records; no built-in batching for multiple identity lookups","Ambiguity detection depends on Anchord's matching rules and confidence thresholds; custom ambiguity logic requires Anchord configuration changes","Does not resolve ambiguity automatically; agents must implement escalation or clarification workflows","Confidence scores are relative to Anchord's matching model; may not reflect domain-specific ambiguity (e.g., two customers with identical names in same company)","Validation is read-only simulation; does not prevent actual writes if executed outside Anchord's control","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.37,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:19:11.468Z","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=anchord-anchord","compare_url":"https://unfragile.ai/compare?artifact=anchord-anchord"}},"signature":"9jhVYqLyaHjLgj+ElIVWKyv9aA7iuD0Ek7NrbWRKq0vFfhw6qrBPsnrtc96r7mrhjezZngU6JYDcGQlEjTP0AQ==","signedAt":"2026-06-15T19:56:48.703Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/anchord-anchord","artifact":"https://unfragile.ai/anchord-anchord","verify":"https://unfragile.ai/api/v1/verify?slug=anchord-anchord","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"}}