CROSS-PLATFORM DISCOVERY: Find related conversations across ALL AI platforms. Uses Purmemo's semantic clustering to automatically discover conversations about similar topics, regardless of which AI platform was used (ChatGPT, Claude Desktop, Gemini, etc). WHAT THIS DOES: - Searc...
Accepts freeform code/query input (query); Bulk/mass operation — affects multiple targets
Part of the Pūrmemo MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call discover_related_conversations to retrieve information from Pūrmemo without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though discover_related_conversations only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
discover_related_conversations:
rules:
- action: allowSee the full Pūrmemo policy for all 11 tools.
Agents calling read-class tools like discover_related_conversations have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
CROSS-PLATFORM DISCOVERY: Find related conversations across ALL AI platforms. Uses Purmemo's semantic clustering to automatically discover conversations about similar topics, regardless of which AI platform was used (ChatGPT, Claude Desktop, Gemini, etc). WHAT THIS DOES: - Searches for memories matching your query - Uses AI-organized semantic clusters to find related conversations - Groups results by topic cluster with platform indicators - Shows conversations you may have forgotten about on other platforms EXAMPLES: User: "Show me all conversations about the marketing project" → Finds conversations across ChatGPT, Claude, Gemini automatically User: "What have I discussed about licensing requirements?" → Discovers related discussions from all platforms, grouped by semantic similarity User: "Find everything about React hooks" → Returns conversations from any platform where you discussed React hooks RESPONSE FORMAT: Shows memories grouped by semantic cluster with platform badges (ChatGPT, Claude, Gemini) Each cluster represents conversations about similar topics across all platforms. It is categorised as a Read tool in the Pūrmemo MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for discover_related_conversations. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Pūrmemo MCP server.
discover_related_conversations is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the discover_related_conversations rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the Intercept policy for discover_related_conversations. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
discover_related_conversations is provided by the Pūrmemo MCP server (purmemo/purmemo-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept