Indlela Yokuthola Nokuxhuma Kumaseva e-MCP Akude

Yini ama-Awesome Remote MCP Servers?

Ama-Awesome Remote MCP Servers yinkomba ehlelwe ngesandla yamaseva e-Model Context Protocol asingathwayo. Isevisi ngayinye esohlwini inikeza i-endpoint iklayenti le-AI elihambisana ne-MCP elingafinyelela kuyo nge-URL.

Ngokungafani neseva ye-MCP yasendaweni, iseva ekude isebenza engqalasizinda yomhlinzeki. Awudingi ukufaka iphakheji ye-npm noma ye-Python, ukuqalisa i-Docker container, noma ukugcina inqubo yangemuva isebenza. Uhlela i-endpoint, uqinisekise uma kudingeka, bese uvumela iklayenti lakho lithole amathuluzi atholakalayo eseva.

Inkomba ibala okufakiwe kuphela ngemva kokuba ama-endpoint ako ephendule i-MCP initialize handshake.

Amaseva e-MCP akude nawasekhaya

Umehluko omkhulu ukuthi iseva isebenza kuphi nokuthi iklayenti lakho lifinyelela kanjani kuyo.

• Ukusabalalisa: Amaseva asekhaya afika njengamaphakheji, ama-binary, noma ama-container; amaseva akude asatshalaliswa njengama-URL.
• Ezokuxhumana: Amaseva asekhaya ngokuvamile asebenzisa okokufaka nokokukhipha okujwayelekile, kanti amaseva akude asebenzisa i-Streamable HTTP noma i-SSE yakudala.
• Indawo yokusebenza: Iseva yasekhaya isebenza kukhompyutha yakho; iseva ekude isebenza engqalasizinda yomhlinzeki.
• Ukuqinisekisa: Amathuluzi asekhaya ngokuvamile asebenzisa okuguquguqukayo kwemvelo noma amafayela okumisa. Amasevisi akude ngokuvamile asebenzisa i-OAuth noma i-API token.
• Izibuyekezo: Wena uthuthukisa okufakiwe kwasekhaya, kanti abahlinzeki abakude bazifakela izibuyekezo zabo.

Uma udinga amathuluzi asebenza emshinini wakho, sebenzisa inkomba ehlukile ye-awesome-mcp-servers.

Izici ezibalulekile zenkomba

• Akukho ukufakwa kwasekhaya: Okufakiwe ngakunye kukhomba ku-endpoint ephethwe umhlinzeki.
• Izigaba ezibanzi: Amasevisi ahlanganisa izizindalwazi, amathuluzi onjiniyela, amapulatifomu e-cloud, ukuphathwa kokuqukethwe, ezezimali, i-CRM, ukugcinwa kwamafayela, idizayini, ukumaketha, nokunye.
• Izidingo zokuqinisekisa ezibonakalayo: Okufakiwe ngakunye kubonisa ukuthi kusekela ukufinyelela okungaziwa, imininingwane ye-API, noma i-OAuth.
• Ama-URL e-endpoint asebenzisekayo: Uhlu lufaka i-URL edingekayo ukuze kumiswe iklayenti le-MCP.
• Ukuqinisekiswa kwe-endpoint: Okufakiwe kufanele kuphendule i-MCP initialization handshake ngaphambi kokufakwa ohlwini.
• Izinkomba zekhwalithi ozikhethela zona: Okunye okufakiwe kufaka ibheji le-Glama connector elibonisa ikhwalithi yezincazelo zamathuluzi kanye nempilo ye-endpoint, okulinganiswe ngokuzimele.

Qonda incazelo yezimpawu zokuqinisekisa

Bheka uphawu oluseduze neseva ngaphambi kokuzama ukuxhuma:

• 🔓 Akukho kuqinisekisa: Xhuma ungaziwa ngaphandle kokunikeza imininingwane yokuqinisekisa.
• 🔑 Ukhiye we-API noma i-token: Thola imininingwane yokuqinisekisa kumhlinzeki bese uyinikeza iklayenti lakho, ngokuvamile nge-Bearer authorization header.
• 🔐 OAuth: Ikhasimende lakho le-MCP ngokuvamile livula isiphequluli ekuxhumeni kokuqala ukuze ungene ngemvume futhi uvumele ukufinyelela.

Uxhumano lwe-OAuth lunganikeza iklayenti le-AI ukufinyelela kudatha yebhizinisi noma ezenzweni. Buyekeza ngokucophelela isikrini sokugunyaza somhlinzeki futhi uvumele kuphela izimvume ezidingwa ukuhamba komsebenzi wakho.

Ukufaka nokumisa

Ayikho iphakheji leseva okufanele lifakwe. Ukumisa kuhlanganisa ukukhetha i-endpoint nokuyengeza eklayentini elihambisana ne-MCP.

1. Vula inkomba bese ukhetha isigaba esihambisana nomsebenzi wakho.
2. Buyekeza incazelo yeseva ngayinye kanye nophawu lwayo lokuqinisekisa.
3. Kopisha i-MCP endpoint esohlwini ngokunembile, kuhlanganise nendlela yayo efana ne-/mcp noma /mcp/sse.
4. Faka i-URL eklayentini lakho usebenzisa isixhumi esibonakalayo somugqa womyalo, ifayela lokumisa, noma izilungiselelo zesixhumi.
5. Qedela ukugunyazwa kwe-OAuth noma unikeze i-API token edingekayo.
6. Qinisekisa ukuthi iklayenti liyaxhuma futhi lithola amathuluzi eseva.

Xhuma nge-Claude Code

I-README ikhombisa indlela yokwengeza i-Linear njengeseva ekude ye-HTTP. Umyalo unikeza uxhumano igama lendawo elithi linear futhi uqondise i-Claude Code ku-endpoint yayo:

claude mcp add --transport http linear https://mcp.linear.app/mcp

Faka elinye igama olithandayo esikhundleni se-linear, bese ufaka enye i-URL esikhundleni sayo lapho uhlela umhlinzeki ohlukile.

Xhuma ngefayela le-mcp.json

I-Cursor, i-VS Code, namanye amaklayenti aqonda ifomethi ye-mcp.json angasebenzisa incazelo yeseva esekelwe ku-URL:

{
  "mcpServers": {
    "linear": {
      "url": "https://mcp.linear.app/mcp"
    }
  }
}

Ukhiye ongaphansi kwe-mcpServers yigama loxhumano. Sebenzisa amagama achazayo lapho uhlela amasevisi amaningi.

Xhuma ku-Claude.ai noma ku-ChatGPT

Vula izilungiselelo zohlelo lokusebenza, thola Connectors, bese wengeza i-URL yeseva ekude. Uma iseva isebenzisa i-OAuth, landela inqubo yokungena ngemvume nokuvuma esipheqululini eboniswa ekusetshenzisweni kokuqala.

Hlela ukuqinisekisa nge-token

Entweni ephawulwe ngo-🔑, thola i-token kumhlinzeki wayo. I-README iphawula ukuthi ama-token ngokuvamile athunyelwa ku-authorization header kusetshenziswa le phethini:

Authorization: Bearer <token>

Indawo ngqo yokufaka le header incike eklayentini le-MCP. Unganamathiseli izimfihlo zangempela kuma-prompt, ezinqolobaneni zomphakathi, ezithombeni-skrini, noma kumafayela okumisa abelwene ngawo.

Izibonelo zokusebenzisa eziyisisekelo

Ngemva kokuxhuma, izenzo ezitholakalayo zincike ngokuphelele kumhlinzeki okhethiwe. Iklayenti lakho lithola izincazelo zamathuluzi eseva futhi lingawasebenzisa lapho liphendula isicelo esifanele.

Sesha imibhalo yobuchwepheshe

Ukuze ufinyelele imibhalo yomphakathi ngaphandle kokuqinisekisa ubuwena, lungiselela i-endpoint efana ne-Astro Docs noma i-Cloudflare Docs:

https://mcp.docs.astro.build/mcp
https://docs.mcp.cloudflare.com/mcp

Ungabe usubuza iklayenti lakho le-AI umbuzo ogxile emibhalweni, njengokuthi “Sesha imibhalo ye-Astro ukuze uthole isiqondiso sokulungiselela ama-integration.”

Sebenza nenkundla yesizindalwazi

Isigaba sezizindalwazi sihlanganisa ama-integration asingathwayo e-MongoDB, Neon, Prisma, Supabase, kanye ne-Convex. Ngokwesibonelo, i-endpoint ye-Supabase ithi:

https://mcp.supabase.com/mcp

I-Supabase isebenzisa i-OAuth futhi isekela ukuphathwa kwamaphrojekthi, ukusebenzisa i-SQL, kanye nokuhlola i-schema. Njengoba amathuluzi ezizindalwazi engadalula noma aguqule idatha ebalulekile, qinisekisa iphrojekthi ekhethiwe futhi ubuyekeze imisebenzi ekhiqiziwe ngaphambi kokuyigunyaza.

Phatha okuqukethwe

Ama-integration okuphatha okuqukethwe ahlanganisa i-Contentful, Sanity, Storyblok, Webflow, kanye ne-Wix. I-endpoint ye-Sanity ithi:

https://mcp.sanity.io/mcp

Uma sesigunyaziwe, iseva ingabuza futhi iguqule ama-dataset namadokhumenti e-Sanity. Isicelo esisebenzayo singaba “Thola amadokhumenti asalungiswa ku-dataset ekhethiwe.” Ngaphambi kokucela izinguquko, chaza ngokucacile i-dataset okuhloswe ngayo kanye noshintsho olufunwayo.

Sebenzisa ithuluzi elingaziwa

Ezinye izinsizakalo azidingi akhawunti. Ngokwesibonelo, i-UI Verify ihlola ikhasi lewebhu ukuze ithole izinkinga zokufinyeleleka nokwakheka:

https://uiverify.ai/api/mcp

Ngemva kokwengeza i-endpoint, cela iklayenti ukuthi lihlole ikhasi elithile bese lifingqa izinkinga ezibikiwe. Ukufinyelela okungaziwa akususi isidingo sokucabangela ukuthi i-URL ethunyelwayo noma okuqukethwe kwayo kuyazwela yini.

Ukukhetha iseva efanele

Qala ngomsebenzi, hhayi ngegama lomhlinzeki. Uhla lwemibhalo luhlela ama-endpoint ngezigaba ezihlanganisa i-browser automation, amapulatifomu e-cloud, ukuxhumana, i-CRM, izizindalwazi, amathuluzi onjiniyela, ezezimali, ulwazi nenkumbulo, ukuphathwa kwamaphrojekthi, ukusesha, ukuphepha, kanye nokulawulwa kwezinguqulo.

1. Chaza isenzo: Nquma ukuthi i-AI idinga ukusesha, ukufunda, ukudala, ukuvuselela, ukuthumela, noma ukuphatha izinsiza.
2. Hlola ukuqinisekiswa: Thola ukuthi ukufinyelela okungaziwa kwanele yini noma ukuhamba komsebenzi kudinga i-akhawunti noma i-token.
3. Buyekeza ububanzi: Khetha ukufinyelela okulinganiselwe kumaphrojekthi, ezindaweni zokusebenza, noma kudatha edingekayo emsebenzini.
4. Hlola ulwazi lwekhwalithi: Lapho lutholakala, sebenzisa ibheji ye-Glama connector njengophawu olwengeziwe lwempilo ye-endpoint kanye nekhwalithi yezincazelo zamathuluzi.
5. Hlola ngokuphepha: Qala ngezicelo zokufunda kuphela noma ezinobungozi obuphansi ngaphambi kokuvumela izenzo zokubhala, ukuthumela, ukukhokha, noma zokuphatha.

Amathiphu athuthukile

Gcina i-URL ephelele ye-transport

Ungasusi izijobelelo ze-endpoint. Okufakiwe okuningi kusebenzisa indlela efana ne-/mcp, kodwa okunye kusebenzisa izindlela ezindala ze-SSE ezifana ne-/mcp/sse. Lungiselela i-URL ephelele eshicilelwe ohlwini lwemibhalo.

Sebenzisa amagama acacile oxhumano

Lapho wengeza amaseva amaningi, khetha amagama akhomba umhlinzeki nenhloso, njenge-supabase-staging noma cloudflare-docs. Amagama acacile anciphisa amathuba okusebenzisa i-integration engalungile.

Hlukanisa izindawo

Uma umhlinzeki eveza izinsiza ezizwelayo noma eziguqulekayo, gcina oxhumano lwentuthuko nolokukhiqiza luhlukene lapho iklayenti nomhlinzeki wakho kuvumela khona. Khomba ngokusobala indawo okuhloswe ngayo emiyalweni ngaphambi kokucela i-AI ukuthi isebenzise i-SQL, ithumele izinhlelo zokusebenza, ihlele okuqukethwe, noma iphathe ingqalasizinda.

Sebenzisa ukufinyelela okunamalungelo amancane

Ama-integration e-OAuth nawesekelwe kuma-token angaveza izenzo ezinamandla. Nikeza kuphela ukufinyelela okudingekayo emsebenzini, gwema ukwabelana ngemininingwane yokungena, futhi uhoxise ukufinyelela lapho uxhumano lungasadingeki.

Qinisekisa imisebenzi enemiphumela ebalulekile

Amanye amaseva asohlwini angaguqula izizindalwazi, avuselele amarekhodi e-CRM, ashicilele amasayithi, athumele ukuxhumana, noma aphathe izinsiza ze-cloud. Cela iklayenti ukuthi lichaze noma libonise kuqala umsebenzi ohlongozwayo ngaphambi kokuwusebenzisa, ikakhulukazi uma isenzo siqeda idatha, senziwa esidlangalaleni, noma kunzima ukusihlehlisa.

Lungisa ukwehluleka kokuxhumana ngendlela ehlelekile

• Qinisekisa ukuthi i-URL ifana ncamashi nokufakiwe ohlwini lwemibhalo.
• Qinisekisa ukuthi iklayenti lisekela oxhumano olukude lwe-MCP kanye ne-transport ye-endpoint.
• Phinda noma uqedele ukuhamba kwe-OAuth esipheqululini lapho kudingeka.
• Hlola ukuthi i-token isasebenza futhi ifomethwe ngendlela elindelwe umhlinzeki.
• Bheka iwebhusayithi exhunyiwe yomhlinzeki ukuze uthole izidingo eziqondene nesevisi.
• Uma ulwazi lwempilo lutholakala, buyekeza ikhasi le-Glama connector elihambisanayo.

Isiphetho

Awesome Remote MCP Servers inikeza indawo yokuqala ewusizo yokwengeza amathuluzi asingathwayo kumaklayenti e-AI. Njengoba abahlinzeki bephethe i-runtime, ukusetha kuvame ukudinga i-URL ye-endpoint kuphela kanye nokuqinisekiswa okufanele. Khetha isevisi ngokomsebenzi, qinisekisa izidingo zayo zokufinyelela, uyixhume ngeklayenti lakho, bese uqala ngezicelo eziphephile nezinomkhawulo ocacile ngaphambi kokunika amandla izenzo ezinemiphumela emikhulu.