atlas_mcp (rsanandres/atlas_mcp) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: there is no public source to read and no endpoint we can reach, so there is nothing for us to inspect. No publisher has claimed this listing.
An MCP server that brings AI-powered search and conversation to your FHIR clinical documents.
Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
Limited view: static analysis for Python is partially covered.
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rsanandres
Source: Glama
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Install from
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LLM_PROVIDEROllama: =ollama, LLM_MODEL=llama3LLM_MODELOllama: LLM_PROVIDER=ollama, =llama3OLLAMA_BASE_URLENABLE_SESSION_HISTORYAGENT_MAX_ITERATIONSAGENT_GRAPH_TYPEGUARDRAILS_ENABLEDAWS_REGIONBedrock: LLM_PROVIDER=bedrock, , LLM_MODEL=haikusonnetopusPII_MASKER_PROVIDERAGENT_PROMPTS_FILEOPENFDA_LABEL_URLOPENFDA_BASE_URLOPENFDA_API_KEYLOINC_USERNAMELOINC_PASSWORDNCBI_API_URLNCBI_API_KEYCLINICAL_TRIALS_API_URLWHO_GHO_API_URLRERANKER_MODELRERANKER_DEVICEICD10_API_URLRXNORM_API_URLDB_PASSWORDEdit .env and set at minimumOPENAI_API_KEYOpenAI: LLM_PROVIDER=openai, , OPENAI_MODEL=gpt-4o-miniANTHROPIC_API_KEYAnthropic: LLM_PROVIDER=anthropic, , ANTHROPIC_MODEL=claude-3-5-sonnet-20241022EMBEDDING_PROVIDERollama or bedrock ollamaSESSION_PROVIDERDB_SCHEMA_NAMEDB_TABLE_NAMEDB_HOSTPostgreSQL host localhostDB_PORTPostgreSQL port 5432DB_NAMEDatabase name hc_aiDB_USERDB_VECTOR_SIZEDB_MAX_POOL_SIZEDB_MAX_OVERFLOWDB_POOL_TIMEOUTCHUNK_QUEUE_MAX_SIZECHUNK_MAX_RETRIESCHUNK_RETRY_BASE_DELAYCHUNK_RETRY_MAX_DELAYDB_SSL_ENABLEDDB_SSL_CERTDB_IVFFLAT_PROBESOLLAMA_EMBED_MODELOLLAMA_EMBED_BATCH_SIZEBEDROCK_EMBED_MODELBEDROCK_EMBED_BATCH_SIZEBEDROCK_READ_TIMEOUTBEDROCK_CONNECT_TIMEOUTBEDROCK_MAX_RETRIESHC_AI_DEBUGCACHE_TTLCACHE_MAX_SIZEUVICORN_HOSTUVICORN_PORTDDB_TURNS_TABLEDDB_SUMMARY_TABLEDDB_ENDPOINTDDB_TTL_DAYSDDB_AUTO_CREATESESSION_RECENT_LIMITTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
39/39 tools missing one or more hints — search_clinical_notes (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_patient_timeline (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); cross_reference_meds (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +36 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
34/39 tool handlers declare input schemas (87%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
21/39 tool handlers wrap calls in try/catch (54%)
Wrap each tool handler body in try/catch and return a structured error response.
Tests exist
No test files found
Add tests that exercise each declared tool.
Shell command execution
1 child_process call — runs shell commands
Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.
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