Files
hyperguild/ingestion/internal/mcp/server.go
T
mathiasandClaude Sonnet 5 2d5bed1e90
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feat(brain): add brain_reject — the missing third option for raw/ notes
hyperguild#81. brain_pending lists brain/raw/ notes awaiting review;
brain_promote moves one into the wiki. There was no way to say "reviewed,
not worth promoting" — the only options were promote it or let it sit
forever. Live consequence, confirmed this session: the pending queue has
grown to 11 items, the oldest 152 days old, several of which are generic
web scrapes nobody is ever going to promote but nobody could clear either
except an un-audited rm bypassing the tool surface entirely.

RejectNote (internal/api/promote.go) mirrors PromoteNote's exact safety
shape: same basename-only filename validation, same write-then-delete
ordering (the source survives any write failure), same collision check
(never silently overwrite an existing rejected note under the same
name). Stamps rejected_at (+ reject_reason if given) into frontmatter,
moves brain/raw/<filename> -> brain/raw/rejected/<filename>. No index
rebuild or auto-tunnel -- a rejected note never entered the wiki, so
there's nothing to index. raw/rejected/ is a subdirectory ListPending's
non-recursive os.ReadDir never walks into, so a rejected note is never
re-surfaced as pending -- the human decision, once made, stays made.

brain_reject wired into the MCP tool list and dispatch, mirroring
brain_promote's schema shape (filename required, reason optional).
Human-invoked only, same as promote -- never called automatically.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-23 07:59:43 +02:00

313 lines
10 KiB
Go

// Package mcp implements an MCP HTTP handler for the ingestion service.
// Exposed tools: brain_query, brain_write, brain_update, brain_get,
// brain_pending, brain_promote, brain_tunnel, brain_ingest,
// brain_ingest_raw, brain_answer, brain_classify, brain_graph,
// brain_context, session_log, and capture (the #55 relay tool, registered
// only when WithCapture is set).
//
// brain_index dispatches but is deliberately absent from tools/list: it is
// auto-called after every write, so surfacing it as a caller verb is
// cognitive load with no decision behind it (ADR-0012 rule 4, #78). It stays
// callable for maintenance — de-surfacing hides the verb, not the operation.
package mcp
import (
"context"
"encoding/json"
"fmt"
"net/http"
"github.com/mathiasbq/hyperguild/ingestion/internal/brainstore"
"github.com/mathiasbq/hyperguild/ingestion/internal/capture"
"github.com/mathiasbq/hyperguild/ingestion/internal/capturehttp"
"github.com/mathiasbq/hyperguild/ingestion/internal/graphstore"
"github.com/mathiasbq/hyperguild/ingestion/internal/graphsync"
"github.com/mathiasbq/hyperguild/ingestion/internal/pipeline"
"github.com/mathiasbq/hyperguild/ingestion/internal/reranker"
"github.com/mathiasbq/hyperguild/ingestion/internal/search"
)
type request struct {
JSONRPC string `json:"jsonrpc"`
ID any `json:"id"`
Method string `json:"method"`
Params json.RawMessage `json:"params"`
}
type response struct {
JSONRPC string `json:"jsonrpc"`
ID any `json:"id,omitempty"`
Result any `json:"result,omitempty"`
Error *rpcError `json:"error,omitempty"`
}
type rpcError struct {
Code int `json:"code"`
Message string `json:"message"`
}
// Server handles MCP JSON-RPC over HTTP for the ingestion service.
type Server struct {
brainDir string
govAudit capture.AuditSink
govNotify govNotifier
pipeline pipeline.Config
llm pipeline.CompleteFunc
answerLLM pipeline.CompleteFunc // nil = brain_answer and brain_classify unavailable
reranker *reranker.Client // nil = no rerank, BM25 top-10 → LLM
vector search.VectorSearcher // nil = BM25-only retrieval
embedder search.Embedder // nil = BM25-only retrieval
graph graphsync.Store // nil = brain_graph and GraphRAG augmentation disabled
store *brainstore.Store // shared brain write/update/get impl (also used by capture)
tracker capture.IssueTracker // nil = no Gitea ticket integration; wired for capture (#53)
capture *captureDeps // nil = capture MCP tool disabled (#55 relay)
}
// captureDeps holds what the MCP `capture` tool (the #55 relay door for
// MCP-native harnesses like claude.ai) needs: the use-case, the auth bits
// to re-derive the caller's principal from the Bearer header (the chassis
// middleware gates but discards the principal), and the origin resolver.
type captureDeps struct {
svc *capture.Service
validator capturehttp.Validator
staticToken string
staticPrincipal string
resolver capturehttp.OriginResolver
}
// NewServer constructs a Server bound to brainDir. pipelineCfg supplies the
// LLM-backed pipeline; llm may be nil for non-LLM tools only.
// answerLLM drives brain_answer and brain_classify; nil disables those tools.
func NewServer(brainDir string, pipelineCfg *pipeline.Config, llm pipeline.CompleteFunc, answerLLM pipeline.CompleteFunc) *Server {
cfg := pipeline.Config{}
if pipelineCfg != nil {
cfg = *pipelineCfg
}
return &Server{
brainDir: brainDir,
pipeline: cfg,
llm: llm,
answerLLM: answerLLM,
store: brainstore.New(brainDir),
}
}
// WithReranker installs an opt-in cross-encoder reranker. When set,
// brain_answer retrieves a wider BM25 candidate set and prunes it to
// the relevant ones before LLM synthesis. Returns the server for
// fluent chaining.
func (s *Server) WithReranker(r *reranker.Client) *Server {
s.reranker = r
return s
}
// WithHybridRetrieval wires the embedding store and embedder so
// brain_query and brain_answer run BM25 + pgvector merged via RRF
// instead of BM25 alone. Either nil disables hybrid mode.
func (s *Server) WithHybridRetrieval(v search.VectorSearcher, e search.Embedder) *Server {
s.vector = v
s.embedder = e
return s
}
// WithGraph wires the brain entities + edges store so every successful
// brain_write / brain_ingest / brain_tunnel re-indexes its written docs
// into the graph, and so brain_graph + GraphRAG-augmented brain_answer
// are available. nil disables graph features and is the legacy default.
func (s *Server) WithGraph(g *graphstore.PGStore) *Server {
if g == nil {
s.graph = nil
s.store.WithGraph(nil)
return s
}
s.graph = g
s.store.WithGraph(g)
return s
}
// WithIssueTracker injects the Gitea ticket tracker behind the
// capture.IssueTracker interface. nil leaves ticket integration off. The
// use-case (capture) consumes this in #53; it is wired here so the
// dependency is constructed once and stays swappable/testable.
func (s *Server) WithIssueTracker(t capture.IssueTracker) *Server {
s.tracker = t
return s
}
// IssueTracker returns the injected ticket tracker (nil when unconfigured).
func (s *Server) IssueTracker() capture.IssueTracker {
return s.tracker
}
// BrainStore returns the shared brain store (graph-wired once WithGraph
// has run), so the capture use-case writes through the exact same
// implementation as the MCP handlers.
func (s *Server) BrainStore() *brainstore.Store {
return s.store
}
// WithCapture enables the MCP `capture` tool (#55) — the relay door for
// MCP-native harnesses (claude.ai, Crush, Pi, LLM Council) that cannot run
// the use-case in-process. It forwards to the same CaptureService as
// POST /capture, deriving the caller's principal + origin from the same
// auth credentials that gate /mcp. nil svc leaves the tool unregistered.
func (s *Server) WithCapture(svc *capture.Service, validator capturehttp.Validator, staticToken, staticPrincipal string, resolver capturehttp.OriginResolver) *Server {
if svc == nil {
s.capture = nil
return s
}
if staticPrincipal == "" {
staticPrincipal = "local-cli"
}
s.capture = &captureDeps{
svc: svc,
validator: validator,
staticToken: staticToken,
staticPrincipal: staticPrincipal,
resolver: resolver,
}
return s
}
func (s *Server) ServeHTTP(w http.ResponseWriter, r *http.Request) {
// MCP streamable HTTP: GET establishes the SSE stream for server-to-client events.
if r.Method == http.MethodGet {
w.Header().Set("Content-Type", "text/event-stream")
w.Header().Set("Cache-Control", "no-cache")
w.Header().Set("Connection", "keep-alive")
w.Header().Set("X-Accel-Buffering", "no")
w.WriteHeader(http.StatusOK)
if f, ok := w.(http.Flusher); ok {
f.Flush()
}
<-r.Context().Done()
return
}
var req request
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
writeError(w, nil, -32700, "parse error")
return
}
// JSON-RPC 2.0 notifications (no id) must not receive a response.
if req.ID == nil {
return
}
var result any
var rpcErr *rpcError
switch req.Method {
case "initialize":
result = map[string]any{
"protocolVersion": "2024-11-05",
"capabilities": map[string]any{"tools": map[string]any{}},
"serverInfo": map[string]any{"name": "ingestion-brain", "version": "0.1.0"},
}
case "tools/list":
result = map[string]any{"tools": s.tools()}
case "tools/call":
var p struct {
Name string `json:"name"`
Arguments json.RawMessage `json:"arguments"`
}
if err := json.Unmarshal(req.Params, &p); err != nil {
rpcErr = &rpcError{Code: -32602, Message: "invalid params"}
break
}
// Re-derive the authenticated principal from the Bearer header so
// the capture tool can compute the trust-zone origin. The request
// is already gated by BearerMiddleware; this only recovers the
// identity that middleware discards.
ctx := r.Context()
if s.capture != nil {
if principal, viaStatic, ok := capturehttp.Authenticate(
r, s.capture.staticToken, s.capture.staticPrincipal, s.capture.validator); ok {
ctx = withPrincipal(ctx, principal, viaStatic)
}
}
out, err := s.handleCall(ctx, p.Name, p.Arguments)
if err != nil {
rpcErr = &rpcError{Code: -32000, Message: err.Error()}
break
}
result = map[string]any{
"content": []map[string]any{{"type": "text", "text": string(out)}},
}
default:
rpcErr = &rpcError{Code: -32601, Message: "method not found: " + req.Method}
}
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(response{
JSONRPC: "2.0",
ID: req.ID,
Result: result,
Error: rpcErr,
})
}
func writeError(w http.ResponseWriter, id any, code int, msg string) {
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(response{
JSONRPC: "2.0",
ID: id,
Error: &rpcError{Code: code, Message: msg},
})
}
// handleCall dispatches a tools/call to the appropriate tool handler.
func (s *Server) handleCall(ctx context.Context, name string, args json.RawMessage) (json.RawMessage, error) {
switch name {
case "brain_query":
return s.brainQuery(ctx, args)
case "brain_write":
return s.brainWrite(ctx, args)
case "brain_update":
return s.brainUpdate(ctx, args)
case "brain_get":
return s.brainGet(ctx, args)
case "brain_pending":
return s.brainPending(ctx, args)
case "brain_promote":
return s.brainPromote(ctx, args)
case "brain_reject":
return s.brainReject(ctx, args)
case "capture":
return s.brainCapture(ctx, args)
case "brain_read":
return s.brainRead(ctx, args)
case "brain_edit":
return s.brainEdit(ctx, args)
case "brain_edit_root":
// Dispatches but is intentionally absent from tools/list — see
// tools_notes.go for why a governance-file editor must not be
// discoverable by a model.
return s.brainEditRoot(ctx, args)
case "brain_index":
return s.brainIndex(ctx, args)
case "brain_tunnel":
return s.brainTunnel(ctx, args)
case "brain_ingest_raw":
return s.brainIngestRaw(ctx, args)
case "brain_ingest":
return s.brainIngest(ctx, args)
case "session_log":
return s.sessionLog(ctx, args)
case "brain_answer":
return s.brainAnswer(ctx, args)
case "brain_classify":
return s.brainClassify(ctx, args)
case "brain_graph":
return s.brainGraph(ctx, args)
case "brain_context":
return s.brainContext(ctx, args)
default:
return nil, fmt.Errorf("unknown tool: %s", name)
}
}