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* perf: system toolset & mcp (#5200) * feat: support system toolset * fix: type * fix: system tool config * chore: mcptool config migrate * refactor: mcp toolset * fix: fe type error * fix: type error * fix: show version * chore: support extract tool's secretInputConfig out of inputs * chore: compatible with old version mcp * chore: adjust * deps: update dependency @fastgpt-skd/plugin * fix: version * fix: some bug (#5316) * chore: compatible with old version mcp * fix: version * fix: compatible bug * fix: mcp object params * fix: type error * chore: update test cases * chore: remove log * fix: toolset node name * optimize app logs sort (#5310) * log keys config modal * multiple select * api * fontsize * code * chatid * fix build * fix * fix component * change name * log keys config * fix * delete unused * fix * perf: log code * perf: send auth code modal enter press * fix log (#5328) * perf: mcp toolset comment * perf: log ui * remove log (#5347) * doc * fix: action * remove log * fix: Table Optimization (#5319) * feat: table test: 1 * feat: table test: 2 * feat: table test: 3 * feat: table test: 4 * feat: table test : 5 把maxSize改回chunkSize * feat: table test : 6 都删了,只看maxSize * feat: table test : 7 恢复初始,接下来删除标签功能 * feat: table test : 8 删除标签功能 * feat: table test : 9 删除标签功能成功 * feat: table test : 10 继续调试,修改trainingStates * feat: table test : 11 修改第一步 * feat: table test : 12 修改第二步 * feat: table test : 13 修改了HtmlTable2Md * feat: table test : 14 修改表头分块规则 * feat: table test : 15 前面表格分的太细了 * feat: table test : 16 改着改着表头又不加了 * feat: table test : 17 用CUSTOM_SPLIT_SIGN不行,重新改 * feat: table test : 18 表头仍然还会多加,但现在分块搞的合理了终于 * feat: table test : 19 还是需要搞好表头问题,先保存一下调试情况 * feat: table test : 20 调试结束,看一下replace有没有问题,没问题就pr * feat: table test : 21 先把注释删了 * feat: table test : 21 注释replace都改了,下面切main分支看看情况 * feat: table test : 22 修改旧文件 * feat: table test : 23 修改测试文件 * feat: table test : 24 xlsx表格处理 * feat: table test : 25 刚才没保存先com了 * feat: table test : 26 fix * feat: table test : 27 先com一版调试 * feat: table test : 28 试试放format2csv里 * feat: table test : 29 xlsx解决 * feat: table test : 30 tablesplit解决 * feat: table test : 31 * feat: table test : 32 * perf: table split * perf: mcp old version compatibility (#5342) * fix: system-tool secret inputs * fix: rewrite runtime node i18n for system tool * perf: mcp old version compatibility * fix: splitPluginId * fix: old mcp toolId * fix: filter secret key * feat: support system toolset activation * chore: remove log * perf: mcp update * perf: rewrite toolset * fix:delete variable id (#5335) * perf: variable update * fix: multiple select ui * perf: model config move to plugin * fix: var conflit * perf: variable checker * Avoid empty number * update doc time * fix: test * fix: mcp object * update count app * update count app --------- Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: heheer <zhiyu44@qq.com> Co-authored-by: colnii <1286949794@qq.com> Co-authored-by: dreamer6680 <1468683855@qq.com>
167 lines
4.5 KiB
TypeScript
167 lines
4.5 KiB
TypeScript
import { Client } from '@modelcontextprotocol/sdk/client/index.js';
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import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse.js';
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import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js';
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import type { AppSchema } from '@fastgpt/global/core/app/type';
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import { type McpToolConfigType } from '@fastgpt/global/core/app/type';
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import { addLog } from '../../common/system/log';
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import { retryFn } from '@fastgpt/global/common/system/utils';
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import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
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import { MongoApp } from './schema';
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import type { McpToolDataType } from '@fastgpt/global/core/app/mcpTools/type';
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export class MCPClient {
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private client: Client;
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private url: string;
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private headers: Record<string, any> = {};
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constructor(config: { url: string; headers: Record<string, any> }) {
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this.url = config.url;
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this.headers = config.headers;
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this.client = new Client({
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name: 'FastGPT-MCP-client',
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version: '1.0.0'
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});
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}
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private async getConnection(): Promise<Client> {
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try {
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const transport = new StreamableHTTPClientTransport(new URL(this.url), {
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requestInit: {
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headers: this.headers
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}
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});
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await this.client.connect(transport);
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return this.client;
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} catch (error) {
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await this.client.connect(
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new SSEClientTransport(new URL(this.url), {
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requestInit: {
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headers: this.headers
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},
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eventSourceInit: {
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fetch: (url, init) => {
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const headers = new Headers({
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...init?.headers,
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...this.headers
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});
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return fetch(url, {
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...init,
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headers
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});
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}
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}
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})
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);
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return this.client;
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}
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}
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// 内部方法:关闭连接
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private async closeConnection() {
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try {
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await retryFn(() => this.client.close(), 3);
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} catch (error) {
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addLog.error('[MCP Client] Failed to close connection:', error);
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}
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}
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/**
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* Get available tools list
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* @returns List of tools
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*/
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public async getTools(): Promise<McpToolConfigType[]> {
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try {
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const client = await this.getConnection();
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const response = await client.listTools();
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if (!Array.isArray(response.tools)) {
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return Promise.reject('[MCP Client] Get tools response is not an array');
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}
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const tools = response.tools.map((tool) => ({
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name: tool.name,
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description: tool.description || '',
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inputSchema: tool.inputSchema
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? {
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...tool.inputSchema,
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properties: tool.inputSchema.properties || {}
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}
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: {
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type: 'object',
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properties: {}
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}
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}));
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// @ts-ignore
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return tools;
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} catch (error) {
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addLog.error('[MCP Client] Failed to get tools:', error);
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return Promise.reject(error);
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} finally {
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await this.closeConnection();
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}
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}
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/**
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* Call tool
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* @param toolName Tool name
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* @param params Parameters
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* @returns Tool execution result
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*/
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public async toolCall(toolName: string, params: Record<string, any>): Promise<any> {
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try {
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const client = await this.getConnection();
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addLog.debug(`[MCP Client] Call tool: ${toolName}`, params);
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return await client.callTool(
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{
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name: toolName,
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arguments: params
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},
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undefined,
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{
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timeout: 300000
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}
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);
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} catch (error) {
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addLog.error(`[MCP Client] Failed to call tool ${toolName}:`, error);
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return Promise.reject(error);
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} finally {
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await this.closeConnection();
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}
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}
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}
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export const getMCPChildren = async (app: AppSchema) => {
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const isNewMcp = !!app.modules[0].toolConfig?.mcpToolSet;
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const id = String(app._id);
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if (isNewMcp) {
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return (
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app.modules[0].toolConfig?.mcpToolSet?.toolList.map((item) => ({
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...item,
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id: `${PluginSourceEnum.mcp}-${id}/${item.name}`,
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avatar: app.avatar
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})) ?? []
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);
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} else {
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// Old mcp toolset
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const children = await MongoApp.find({
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teamId: app.teamId,
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parentId: id
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}).lean();
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return children.map((item) => {
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const node = item.modules[0];
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const toolData: McpToolDataType = node.inputs[0].value;
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return {
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avatar: app.avatar,
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id: `${PluginSourceEnum.mcp}-${id}/${item.name}`,
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...toolData
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};
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});
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}
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};
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