Area
- Tooling (CLI/formatter/test runner)
- Documentation
Problem statement
incan inspect codegraph gives agents raw graph facts, but RFC 106’s main agent-facing product is task-ranked context packing: one high-level call should return a compact, deterministic, budgeted context pack for a concrete task.
Without this layer, agents still need to perform several low-level graph/search/read calls and decide relevance themselves.
Related: #573, #766, RFC 106.
Proposed solution
Add an agent-facing context service and MCP surface on top of the compiler-backed codegraph export.
The first implementation should support task-level retrieval before exposing many raw graph tools. It should produce compact, deterministic context packs with source anchors, graph reasons, provenance, diagnostics, and relevant neighboring facts.
Candidate tools/resources:
context_for_task(task, budget, project_id)
context_for_files(files, budget, project_id)
explain_context(task, node_id, project_id)
graph_neighbors(node_id, project_id)
graph_summary(project_id)
- read-only resources for schema, stale status, indexed packages, and snapshot metadata
Alternatives considered
- Expose only raw JSONL and expect agents to rank it: too low-level for agent ergonomics.
- Pack the entire repository: portable but token-heavy and structurally blunt.
- Make embeddings mandatory: rejected because graph/name/provenance ranking should work locally and deterministically first.
Scope / acceptance criteria
-
In scope:
- Define compact task-context output for agent consumption.
- Implement deterministic ranking using exact names, docs/metadata, graph proximity, diagnostics, and provenance.
- Add an MCP surface or prototype for read-only task context and graph summary tools.
- Include stale/snapshot metadata in responses.
-
Out of scope:
- Mandatory embeddings or hosted inference.
- Remote graph storage.
- Writing or mutating source files through MCP.
-
Done when:
- A task prompt can produce a bounded context pack from an Incan project without manual grep/read loops.
- Output is deterministic for the same graph snapshot, task, budget, and ranking config.
- Tests cover budget behavior, stable ordering, and provenance preservation.
Area
Problem statement
incan inspect codegraphgives agents raw graph facts, but RFC 106’s main agent-facing product is task-ranked context packing: one high-level call should return a compact, deterministic, budgeted context pack for a concrete task.Without this layer, agents still need to perform several low-level graph/search/read calls and decide relevance themselves.
Related: #573, #766, RFC 106.
Proposed solution
Add an agent-facing context service and MCP surface on top of the compiler-backed codegraph export.
The first implementation should support task-level retrieval before exposing many raw graph tools. It should produce compact, deterministic context packs with source anchors, graph reasons, provenance, diagnostics, and relevant neighboring facts.
Candidate tools/resources:
context_for_task(task, budget, project_id)context_for_files(files, budget, project_id)explain_context(task, node_id, project_id)graph_neighbors(node_id, project_id)graph_summary(project_id)Alternatives considered
Scope / acceptance criteria
In scope:
Out of scope:
Done when: