"database" matching MCP tools:

• string_interactions_query_setA

  STRING Database MCP ServerA

  Retrieves the interactions between the query proteins. Use this method only when you specifically need to list the interactions between all proteins in your query set. If user asks for 'physical' or 'complex' use 'physical' network type. - For a **single protein**, the network includes that protein and its top 10 most likely interaction partners, plus all interactions among those partners. - For **multiple proteins**, the network includes all direct interactions between them. - If the user refers to "physical interactions", "complexes", or "binding", set the network type to "physical". - STRING does not store or report information about self-interactions/homomers; if asked, explain the limitation. If few or no interactions are returned, consider reducing the `required_score`. For large query sets (>50 proteins), consider increasing the `required_score` (e.g. ≥700) to focus on high-confidence interactions and avoid overly dense networks. - Expand the names of score sources: `nscore` (neighborhood), `fscore` (fusion), `pscore` (phylogenetic profile), `ascore` (coexpression), `escore` (experimental), `dscore` (database), `tscore` (text-mining)

  ConnectorNo auth

• string_proteins_for_termA

  STRING Database MCP ServerA

  Retrieve proteins annotated with a functional term or descriptive text in a single species. You can query for tissues, compartments, diseases, processes, pathways, and domains. IMPORTANT: For cross-species comparisons, run this tool separately for each species. Select relevant model organisms to search or ask user to provide the selection. The results reflect annotation depth within each category; use caution when interpreting. If no results are found, try simplifying the query. For tissue queries, follow BRENDA tissue nomenclature and omit the word "tissue" (e.g. use "skin" instead of "skin tissue"). Output fields: - category: Source database of the matched functional term (e.g. GO, KEGG, Reactome, Pfam, InterPro). - term: Exact identifier for the functional term. - description: The free text description of the term. - proteinCount: Number of proteins annotated with that term - preferredNames: Full protein-name list when `detail_for_term` is set - stringIds: STRING protein identifiers when returned - preferredNames_omitted: True when a row omits the protein-name list - stringIds_omitted: True when STRING identifiers are omitted

  ConnectorNo auth

• resize_databaseA

  DockholdA

  Change how much memory an app's managed database gets. Call this when the database is slow or out of memory. db_ram_mb must be one of the sizes get_resource_usage reports under db_ram.steps_mb and fit your database-RAM pool. WARNING: the database restarts briefly to apply the new size, so the app loses its database connection for a few seconds. Only works if the app has a managed database.

  ConnectorNo auth

• lookup_partA

  EOSL.ai — Hardware End-of-Life DatabaseA

  Look up one hardware part number or model name in the EOSL.ai database (read-only, no auth; for many parts use bulk_check). Returns support status, End-of-Sale and End-of-Service-Life dates, support runway score, and the primary vendor bulletin URL backing the dates. Matching is exact, then punctuation-insensitive, then Fortinet short-SKU aliases (FG-60E -> FortiGate-60E); a model/family name (e.g. "7010TX-48") that matches no SKU returns the family-level record, flagged matchedVia:family-name. Anything else returns found:false rather than a guessed date.

  ConnectorNo auth

• remove_connectionA

  ThinAir DataA

  Remove a stored database connection from ThinAir Data by name. This deletes ONLY ThinAir's saved connection record (name, encrypted DSN) — your actual database is never touched, nothing is dropped or altered on it. Call list_connections first if you're unsure of the exact name.

  Connector

  Destructive

  OAuth

• query_databaseA

  flootA

  Run a READ-ONLY SQL query against the project's Postgres database (SELECT, EXPLAIN, etc.). Writes are rejected — use execute_sql for those. Returns JSON: `{rows, rowCount, command, truncated?}` (or `{results: [...]}` for multi-statement queries). Pass `database` only if the project has more than one.

  ConnectorOAuth

• droptrack_get_runtime_contextA

  DropTrackB

  Attest the connected DropTrack MCP stage, base URL, non-secret database fingerprint, configured database-target match, Lambda identity, region, and authorization role. Call this before any write. Require databaseTargetMatchesExpected=true, compare stage, base URL, and fingerprint to the canonical environment table, then pass the exact stage and database fingerprint to guarded write tools. Never infer environment from company data alone.

  ConnectorOAuth

• string_all_interaction_partnersA

  STRING Database MCP ServerA

  Retrieves all interaction partners for one or more proteins from STRING. This tool returns all known interactions between your query protein(s) and **any other proteins in the STRING database**. - Use this when asking **“What does TP53 interact with?”** - It differs from the `network` tool, which only shows interactions **within the input set** or a limited extension of it. - If the user refers to "physical interactions", "complexes", or "binding", set the network type to "physical". You can filter for strong interactions using `required_score`. - Evidence scores: `nscore` (neighborhood), `fscore` (fusion), `pscore` (phylogenetic profile), `ascore` (coexpression), `escore` (experimental), `dscore` (database), `tscore` (text mining)

  ConnectorNo auth

• database_search_replaceA

  BorealHostA

  Search and replace in WordPress database (e.g. URL migration). Handles serialized data safely. Use dry_run=true first to preview changes. Requires: API key with write scope. Args: slug: Site identifier old: String to search for (e.g. "http://old-domain.com") new: Replacement string (e.g. "https://new-domain.com") dry_run: Preview only without making changes (default: true) Returns: {"replacements": 42, "tables_affected": 5, "dry_run": true}

  ConnectorNo auth

• delete_databaseA

  mcpA

  Deletes a managed Postgres database and its underlying VM. Pass the numeric database id from list_databases. This cannot be undone.

  Connector

  Destructive

  No auth

• searchA

  GuideDoc Documentary DatabaseA

  Use this when someone seeks documentary films by title, director, topic or keyword. Search GuideDoc's public film database, including reference films that cannot currently be streamed. Do not use for fiction, private GuideDoc records or streaming availability outside GuideDoc. Args: query: Documentary title, director, topic or keyword; for example "Senna" or "climate change".

  ConnectorNo auth

• delete_graph_projectA

  RationalBloksA

  Delete a graph project (removes GitHub repo, K8s deployments, Neo4j database, and credentials)

  Connector

  Destructive

  No auth

• subjectsA

  Hagstofa IsA

  Navigate the database/subject tree. Root lists databases; sub-paths list folders (type "l") and tables (type "t", id ends in ".px").

  ConnectorNo auth

• search_mcp_directoryA

  PipeworxA

  Search thousands of MCP servers by use case (e.g., 'database', 'email', 'calendar'). Returns community and hosted servers. Use to find tools beyond Pipeworx.

  ConnectorNo auth

• axiorank_get_healthA

  AxioRank: Zero-Trust for AI AgentsA

  Liveness/readiness probe for the AxioRank control plane (API + database reachability). Returns `status: ok|degraded`.

  ConnectorNo auth

• delete_relational_databaseA

  mcpA

  Deletes a managed MySQL/MariaDB database and its underlying VM. Pass the numeric id from list_relational_databases. This cannot be undone.

  Connector

  Destructive

  No auth

• delete_clickhouseA

  mcpA

  Deletes a managed ClickHouse database and its underlying VM. Pass the numeric id from list_clickhouse_databases. This cannot be undone.

  Connector

  Destructive

  No auth

• database_overviewA

  can-immuneA

  Get the headline size of the CAN-IMMUNE database in one call. Returns total counts of mutations, genes, and unique mutant peptides, plus how many cell lines, tissues, and cancer types are covered, and the data sources (COSMIC, DepMap/CCLE, PubMed). Use this first to size the resource or to answer "how big is the database / how many X are there" questions. No parameters.

  ConnectorNo auth

• delete_graph_projectA

  RationalBloksA

  Delete a graph project (removes GitHub repo, K8s deployments, Neo4j database, and credentials)

  Connector

  Destructive

  No auth

• string_sequence_searchA

  STRING Database MCP ServerA

  Searches the STRING database using **amino acid sequences** to identify matching proteins. - Accepts a single sequence or multiple sequences in FASTA format. - Returns the most similar STRING protein(s) for the specified species, based on sequence similarity. - Use this when the protein identifier is unknown or unresolvable by `string_resolve_proteins`.

  ConnectorNo auth

• execute_queryA

  BorealHostA

  Execute a SQL query on a site's database. Supports SELECT, INSERT, UPDATE, DELETE, and DDL statements. Results are limited to 1000 rows for SELECT queries. Requires: API key with write scope. Args: slug: Site identifier database: Database name query: SQL query string Returns: {"columns": ["id", "title"], "rows": [[1, "Hello"], ...], "affected_rows": 0, "query_time_ms": 12}

  ConnectorNo auth