Resolve a symbol to its graph node and return categorised incoming/outgoing edges (calls, imports, accesses, has_method, has_property, extends, implements, method_overrides, method_implements), process participation, OpenAPI operation links for Route targets, and file location. Use
AI agents call context to retrieve information from OpenCodeHub MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'context' tool performs code intelligence queries against an indexed knowledge graph—resolving symbols, retrieving edge relationships (calls, imports, accesses, etc.), and returning file locations. These are all retrieval operations typical of a Read category. No data is created, modified, deleted, or executed; the tool surfaces existing metadata and relationship information for agent code comprehension.
From the tool's definition Tool description states it 'Resolve[s] a symbol to its graph node and return[s] categorised incoming/outgoing edges' and 'file location'.
Attacks that exploit this kind of access
Resolve a symbol to its graph node and return categorised incoming/outgoing edges (calls, imports, accesses, has_method, has_property, extends, implements, method_overrides, method_implements), process participation, OpenAPI operation links for Route targets, and file location. Use. It is categorised as a Read tool in the OpenCodeHub MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenCodeHub MCP Server MCP server in PolicyLayer and add a rule for context: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches OpenCodeHub MCP Server. Nothing to install.
context 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 context rule in your PolicyLayer 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 PolicyLayer policy for context. 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.
context is provided by the OpenCodeHub MCP Server MCP server (theagenticguy/opencodehub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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